From 9932c841d462a88361773a796a6067e3e0e21771 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 26 Sep 2019 22:50:43 +0200 Subject: [PATCH 01/85] start working on adding reweighting options for hadron --- R/reweightingfactor.R | 163 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 163 insertions(+) create mode 100644 R/reweightingfactor.R diff --git a/R/reweightingfactor.R b/R/reweightingfactor.R new file mode 100644 index 000000000..2803285ad --- /dev/null +++ b/R/reweightingfactor.R @@ -0,0 +1,163 @@ +#' Reweighting factor container +#' +#' This function `rw()` creates containers for reweighting factors +#' of class `rw`. This class is particularly designed to store reweighting +#' factors for each gauge configuration, that can be applied on +#' correlation functions emerging in statistical and quantum field theory +#' simulations. Arithmetic operations are defined for this class in +#' several ways, as well as concatenation and \link{is.rw}. +#' +#' @details +#' +#' And last but not least, these are the fields that are used somewhere in the library but we have not figured out which mixin these should belong to: +#' +#' @family rw constructors +#' +#' @export +rw <- function () { + rw <- list() + class(rw) <- append(class(rw), 'rw') + return (rw) +} + +#' rw metadata mixin constructor +#' +#' @param .rw `rw` object to extend. +#' @param conf.index list of Integers, containing the index of gauge configurations +#' +#' @family cf constructors +#' +#' @export +rw_meta <- function (.rw = rw(), conf.index = NA) { + stopifnot(inherits(.rw, 'rw')) + + .rw$conf.index = conf.index + + class(.rw) <- append(class(.rw), 'cf_meta') + return (.rw) +} + +#' Checks whether the cf object contains no data +#' +#' @param .rw `rw` object. +#' +#' @examples +#' # The empty cf object must be empty: +#' is_empty.cf(cf()) +#' +#' # The sample cf must not be empty: +#' is_empty.cf(samplecf) +is_empty.rw <- function (.rw) { + setequal(class(.rw), class(rw())) && + is.null(names(.rw)) +} + + +#' Arithmetically multiplies two reweighting factors functions +#' +#' @param rw1,rw2 `rw_orig` object. +#' @param nf1,nf2 Integer. Factors that determines the number of flavours you +#' have for reweighting factor 1 and 2 +#' +#' @return +#' The value is +#' \deqn{exp(C_1*nf1)*exp(C_2*nf2) \,.} +#' +#' @export +multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { + stopifnot(inherits(rw1, 'rw')) + stopifnot(inherits(rw2, 'rw')) + stopifnot(inherits(rw1, 'rw_orig')) + stopifnot(inherits(rw2, 'rw_orig')) + stopifnot(inherits(rw1, 'rw_meta')) + stopifnot(inherits(rw2, 'rw_meta')) + stopifnot(all(dim(rw$rw) == dim(rw2$rw))) + stopifnot(rw1$conf.index == rw2$conf.index) + + rw <- rw1 + rw$rw <- exp(nf1*rw1$rw + nf2*rw2$rw) + return(rw) +} + +#' Arithmetically multiply reweighting factors +#' +#' @param rw1,rw2 `rw_orig` objects. +#' +#' @export +'*.cf' <- function (rw1, rw2) { + multiply.rw(cf1, cf2, nf1 = 1, nf2 = 1) +} + + +#' Checks whether an object is a rw +#' +#' @param x Object, possibly of class `rw`. +#' +#' @export +is.rw <- function (x) { + inherits(x, "rw") +} + + +#' Plot a reweighting factor function +#' +#' @param x `rw` object +#' @param neg.vec Numeric vector of length `rw$rw0`. This allows switching the +#' sign for certain gauge configurations such that displaying in +#' log-scale is sensible. +#' @param rep See \code{\link{plotwitherror}}. +#' +#' @inheritParams plotwitherror +#' +#' @export +plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw0)), rep = FALSE, ...) { + rw <- x + stopifnot(inherits(rw, 'rw')) + + val <- rw$rw0/mean(rw$rw0) + err <- rep(x=0,length(rw$rw0)) + + df <- data.frame(t = c(1:length(val)), + CF = val, + Err = err) + + plotwitherror(x = c(1:length(val)), y = neg.vec * df$CF, dy = df$Err, rep = rep, ...) + + return(invisible(df)) +} + +addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { + stopifnot(inherits(rw1, 'rw')) + stopifnot(inherits(rw2, 'rw')) + + if (is_empty.rw(rw1)) { + return (invisible(rw2)) + } + if (is_empty.cf(rw2)) { + return (invisible(rw1)) + } + + stopifnot(inherits(rw1, 'rw_meta')) + stopifnot(inherits(rw2, 'rw_meta')) + + stopifnot(identical(rw1$conf.index == rw2$conf.index) + stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) + + rw <- rw1 + + if (reverse1 == TRUE){ + rw_1 <- rev(rw1$rw) + } + else{ + rw_1 <- rw1$rw + } + if (reverse2 == TRUE){ + rw_2 <- rev(rw2$rw) + } + else{ + rw_2 <- rw2$rw + } + rw$rw <- rbind(rw_1, rw_2) + + return (invisible(rw)) +} From b0ed0381324554f068983e428065504049b95814 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 26 Sep 2019 23:27:53 +0200 Subject: [PATCH 02/85] rw_orig added --- R/reweightingfactor.R | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/R/reweightingfactor.R b/R/reweightingfactor.R index 2803285ad..f706b6640 100644 --- a/R/reweightingfactor.R +++ b/R/reweightingfactor.R @@ -14,6 +14,15 @@ #' @family rw constructors #' #' @export +rw_orig <- function (.rw = rw(), rw) { + stopifnot(inherits(.rw, 'rw')) + + .rw$rw <- rw + + class(.rw) <- append(class(.rw), 'rw_orig') + return (.rw) +} +#' @export rw <- function () { rw <- list() class(rw) <- append(class(rw), 'rw') @@ -33,7 +42,7 @@ rw_meta <- function (.rw = rw(), conf.index = NA) { .rw$conf.index = conf.index - class(.rw) <- append(class(.rw), 'cf_meta') + class(.rw) <- append(class(.rw), 'rw_meta') return (.rw) } From 9b67c8be35e524fe0f8051fdc486f8f2772d472c Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 27 Sep 2019 00:20:36 +0200 Subject: [PATCH 03/85] reading function for reweighting factor --- R/readutils.R | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/R/readutils.R b/R/readutils.R index fb76f16d8..02826e21b 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -343,7 +343,39 @@ readtextcf <- function(file, T=48, sym=TRUE, path="", skip=1, check.t=0, ind.vec return (invisible(ret)) } +#' @title reading reweighting factors for a list of gauge configuration +#' and random samples from ASCII files in CMI format +#' @param file_names_to_read list of filenames for the reweighting factors +#' @param gauge_conf_list <- a list of integers with the indices of the gauge configs +#' @param nsamples number of stochastic samples used for computing the reweighting factors +readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) +{ + stopifnot(nsamples*length(gauge_conf_list)==length(file_names_to_read)) + ret <- rw_meta(conf.index=gauge_conf_list) + tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) + +# Number of reweighted determinants for each gauge configuration + n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list) + +# Exponentianing and Averaging over the stochastic samples + + tmp2 <- matrix(tmp$V7,nrow=nsamples_rew,ncol=length(gauge_conf_list)*n_rew_factors) + tmp3 <- apply(exp(-tmp2),2,mean) + +# Taking the product for the different determinants + tmp4 <- matrix(tmp3,nrow=n_rew_factors,ncol=nconf_rew) + tmp5 <- apply(tmp4,2,prod) + +# Normalize the largest reweighting factor to be one and storing this factor +# this is neccessary due to the large value of the reweighting factor +# after exponentiating +# max_value <- max(tmp5) + tmp6 <- tmp5/max(tmp5) + + ret <- rw_orig(ret, rw = tmp6 ) + +} #' @title reader for Nissa text format correlation functions #' @param file_baseames_to_read Character vector of file names without the #' smearing combination suffixes (such as 'll', 'ls', 'sl', 'ss') From b67837489b89b822d064bbda7ff9b41e355be9cf Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 27 Sep 2019 13:55:26 +0200 Subject: [PATCH 04/85] Correcting errors --- R/readutils.R | 2 +- R/reweightingfactor.R | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 02826e21b..0040a1ff0 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -356,7 +356,7 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) # Number of reweighted determinants for each gauge configuration - n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list) + n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) # Exponentianing and Averaging over the stochastic samples diff --git a/R/reweightingfactor.R b/R/reweightingfactor.R index f706b6640..4ea8a86d1 100644 --- a/R/reweightingfactor.R +++ b/R/reweightingfactor.R @@ -149,7 +149,7 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) - stopifnot(identical(rw1$conf.index == rw2$conf.index) + stopifnot(identical(rw1$conf.index == rw2$conf.index)) stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) rw <- rw1 From 3dc4bfa3b236973a6b6d5d6d9580b338dd8b2431 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 27 Sep 2019 15:13:13 +0200 Subject: [PATCH 05/85] correcting errors --- R/readutils.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 0040a1ff0..6aaf3cc29 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -350,7 +350,7 @@ readtextcf <- function(file, T=48, sym=TRUE, path="", skip=1, check.t=0, ind.vec #' @param nsamples number of stochastic samples used for computing the reweighting factors readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) { - stopifnot(nsamples*length(gauge_conf_list)==length(file_names_to_read)) + stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) @@ -360,11 +360,11 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) # Exponentianing and Averaging over the stochastic samples - tmp2 <- matrix(tmp$V7,nrow=nsamples_rew,ncol=length(gauge_conf_list)*n_rew_factors) + tmp2 <- matrix(tmp$V7,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) tmp3 <- apply(exp(-tmp2),2,mean) # Taking the product for the different determinants - tmp4 <- matrix(tmp3,nrow=n_rew_factors,ncol=nconf_rew) + tmp4 <- matrix(tmp3,nrow=n_rew_factors,ncol=length(gauge_conf_list)) tmp5 <- apply(tmp4,2,prod) # Normalize the largest reweighting factor to be one and storing this factor From c1eb13c1f47aa5f02bcab4d698d1ed5289a72e4d Mon Sep 17 00:00:00 2001 From: pittlerf Date: Sun, 29 Sep 2019 00:23:50 +0200 Subject: [PATCH 06/85] adding possibility to reverse correlation functions --- R/cf.R | 21 ++++++++++++++++++--- R/readutils.R | 9 ++++++--- R/reweightingfactor.R | 34 +++++++++++++++++++++++----------- 3 files changed, 47 insertions(+), 17 deletions(-) diff --git a/R/cf.R b/R/cf.R index a1f35b572..1651b9637 100644 --- a/R/cf.R +++ b/R/cf.R @@ -468,7 +468,7 @@ addConfIndex2cf <- function(cf, conf.index) { return(cf) } -addStat.cf <- function(cf1, cf2) { +addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(cf1, 'cf')) stopifnot(inherits(cf2, 'cf')) @@ -487,10 +487,25 @@ addStat.cf <- function(cf1, cf2) { stopifnot(cf1$nrObs == cf2$nrObs ) stopifnot(cf1$nrStypes == cf2$nrStypes) + cf <- cf1 - cf$cf <- rbind(cf1$cf, cf2$cf) - cf$icf <- rbind(cf1$icf, cf2$icf) + cf1_temp<- cf1$cf + icf1_temp <- cf1$icf + if (reverse1 == TRUE){ + apply(cf1_temp,2,rev) + apply(icf1_temp,2,rev) + } + cf2_temp <- cf2$cf + icf2_temp <- cf2$icf + if (reverse2 == TRUE){ + apply(cf2_temp,2,rev) + apply(icf2_temp,2,rev) + } + + + cf$cf <- rbind(cf1_temp, cf2_temp) + cf$icf <- rbind(icf1_temp, icf2_temp) cf <- invalidate.samples.cf(cf) diff --git a/R/readutils.R b/R/readutils.R index 6aaf3cc29..7de683dc8 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -348,12 +348,16 @@ readtextcf <- function(file, T=48, sym=TRUE, path="", skip=1, check.t=0, ind.vec #' @param file_names_to_read list of filenames for the reweighting factors #' @param gauge_conf_list <- a list of integers with the indices of the gauge configs #' @param nsamples number of stochastic samples used for computing the reweighting factors -readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) +readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id ) { stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) +# Select the reweighting factor for a particular monomial + + tmp <- filter(tmp,V1==monomial_id) + # Number of reweighted determinants for each gauge configuration n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) @@ -370,10 +374,9 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples ) # Normalize the largest reweighting factor to be one and storing this factor # this is neccessary due to the large value of the reweighting factor # after exponentiating -# max_value <- max(tmp5) tmp6 <- tmp5/max(tmp5) - ret <- rw_orig(ret, rw = tmp6 ) + ret <- rw_orig(ret, rw = tmp6, max_value = max(tmp5)) } #' @title reader for Nissa text format correlation functions diff --git a/R/reweightingfactor.R b/R/reweightingfactor.R index 4ea8a86d1..0c37aa204 100644 --- a/R/reweightingfactor.R +++ b/R/reweightingfactor.R @@ -14,10 +14,11 @@ #' @family rw constructors #' #' @export -rw_orig <- function (.rw = rw(), rw) { +rw_orig <- function (.rw = rw(), rw, max_value) { stopifnot(inherits(.rw, 'rw')) .rw$rw <- rw + .rw$max_value <- max_value class(.rw) <- append(class(.rw), 'rw_orig') return (.rw) @@ -119,12 +120,12 @@ is.rw <- function (x) { #' @inheritParams plotwitherror #' #' @export -plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw0)), rep = FALSE, ...) { +plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ...) { rw <- x stopifnot(inherits(rw, 'rw')) - val <- rw$rw0/mean(rw$rw0) - err <- rep(x=0,length(rw$rw0)) + val <- rw$rw/mean(rw$rw) + err <- rep(x=0,length(rw$rw)) df <- data.frame(t = c(1:length(val)), CF = val, @@ -149,24 +150,35 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) - stopifnot(identical(rw1$conf.index == rw2$conf.index)) - stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) + #stopifnot(identical(rw1$conf.index == rw2$conf.index)) + #stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) - rw <- rw1 + rw <- rw1 if (reverse1 == TRUE){ - rw_1 <- rev(rw1$rw) + rw_1 <- rev(rw1$rw) + conf_1 <- rev(rw1$conf.index) } else{ - rw_1 <- rw1$rw + rw_1 <- rw1$rw + conf_1 <- rw1$conf.index } if (reverse2 == TRUE){ - rw_2 <- rev(rw2$rw) + rw_2 <- rev(rw2$rw) + conf_2 <- rev(rw2$conf.index) } else{ - rw_2 <- rw2$rw + rw_2 <- rw2$rw + conf_2 <- rw2$conf.index } + rw_1 <- rw_1*rw$max_value + rw_2 <- rw_2*rw$max_value + rw$rw <- rbind(rw_1, rw_2) + max_value <- max(rw$rw) + rw$rw <- rw$rw/max_value + rw$conf.index <- rbind(conf_1, conf_2) + rw$max_value <- max_value return (invisible(rw)) } From 754d28722d2befcbc45546b9c246fc3a526aa658 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Sun, 29 Sep 2019 23:00:13 +0200 Subject: [PATCH 07/85] correcting errors --- NAMESPACE | 2 ++ R/cf.R | 9 ++++++--- R/reweightingfactor.R | 30 ++++++++++++++++++++---------- man/addStat.rw.Rd | 34 ++++++++++++++++++++++++++++++++++ 4 files changed, 62 insertions(+), 13 deletions(-) create mode 100644 man/addStat.rw.Rd diff --git a/NAMESPACE b/NAMESPACE index d9c07aaca..d6ca71e66 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,7 @@ exportPattern("^cf.*") exportPattern("*.cf") +exportPattern("^rw.*") +exportPattern("*.rw") exportPattern("^plot.*") exportPattern("^analysis_*") exportPattern("^print.*") diff --git a/R/cf.R b/R/cf.R index 1651b9637..abc64458b 100644 --- a/R/cf.R +++ b/R/cf.R @@ -487,20 +487,23 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { stopifnot(cf1$nrObs == cf2$nrObs ) stopifnot(cf1$nrStypes == cf2$nrStypes) - cf <- cf1 cf1_temp<- cf1$cf icf1_temp <- cf1$icf if (reverse1 == TRUE){ apply(cf1_temp,2,rev) - apply(icf1_temp,2,rev) + if (!is.na(icf1_temp)){ + apply(icf1_temp,2,rev) + } } cf2_temp <- cf2$cf icf2_temp <- cf2$icf if (reverse2 == TRUE){ apply(cf2_temp,2,rev) - apply(icf2_temp,2,rev) + if (!is.na(icf2_temp)){ + apply(icf2_temp,2,rev) + } } diff --git a/R/reweightingfactor.R b/R/reweightingfactor.R index 0c37aa204..2af1606c2 100644 --- a/R/reweightingfactor.R +++ b/R/reweightingfactor.R @@ -14,16 +14,6 @@ #' @family rw constructors #' #' @export -rw_orig <- function (.rw = rw(), rw, max_value) { - stopifnot(inherits(.rw, 'rw')) - - .rw$rw <- rw - .rw$max_value <- max_value - - class(.rw) <- append(class(.rw), 'rw_orig') - return (.rw) -} -#' @export rw <- function () { rw <- list() class(rw) <- append(class(rw), 'rw') @@ -47,6 +37,18 @@ rw_meta <- function (.rw = rw(), conf.index = NA) { return (.rw) } +#' @export +rw_orig <- function (.rw = rw(), rw, max_value) { + print("sasas") + stopifnot(inherits(.rw, 'rw')) + + .rw$rw <- rw + .rw$max_value <- max_value + + class(.rw) <- append(class(.rw), 'rw_orig') + return (.rw) +} + #' Checks whether the cf object contains no data #' #' @param .rw `rw` object. @@ -136,6 +138,14 @@ plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ... return(invisible(df)) } +#' Combine statistics for reweighting factor +#' +#' @param rw1 `rw` object +#' @param rw2 `rw` object +#' @param reverse1 boolean object +#' @param reverse1 boolean object +#' +#' @export addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) stopifnot(inherits(rw2, 'rw')) diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd new file mode 100644 index 000000000..acc9b3774 --- /dev/null +++ b/man/addStat.rw.Rd @@ -0,0 +1,34 @@ +\name{addStat.rw} +\alias{addStat.rw} +\title{Combine statistics of two rw objects} +\description{ + \code{addStat.rw} takes the raw data of two \code{rw} objects and + combines them into one +} +\usage{ +addStat.cf(rw1, rw2, reverse1, reverse2) +} +\arguments{ + \item{rw1}{ + the first of the two \code{rw} objects to be combined + } + \item{rw2}{ + the second of the two \code{rw} objects to be combined + } +} +\value{ + an object of class \code{rw} with the statistics of the two input + \code{rw} objects combined +} +\details{ + Note that the two \code{rw} objects to be combined need to be + compatible. Otherwise, \code{addStat.rw} will abort with an error. +} +\seealso{ + \code{\link{rw}} +} +\examples{ +\dontrun{rw0 <- addStat(rw1=rw1, rw2=rw2)} +} +\author{Carsten Urbach, \email{curbach@gmx.de}} +\keyword{correlation function} From 4b26f9f98c518c499612cb18000173f10189729a Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 11:18:49 +0200 Subject: [PATCH 08/85] renaming and error search --- R/{reweightingfactor.R => rw.R} | 24 ++++++++++++++++++----- man/addStat.cf.Rd | 34 --------------------------------- man/addStat.rw.Rd | 34 --------------------------------- 3 files changed, 19 insertions(+), 73 deletions(-) rename R/{reweightingfactor.R => rw.R} (90%) delete mode 100644 man/addStat.cf.Rd delete mode 100644 man/addStat.rw.Rd diff --git a/R/reweightingfactor.R b/R/rw.R similarity index 90% rename from R/reweightingfactor.R rename to R/rw.R index 2af1606c2..ed141afa9 100644 --- a/R/reweightingfactor.R +++ b/R/rw.R @@ -37,15 +37,29 @@ rw_meta <- function (.rw = rw(), conf.index = NA) { return (.rw) } + #' @export -rw_orig <- function (.rw = rw(), rw, max_value) { - print("sasas") +rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { stopifnot(inherits(.rw, 'rw')) .rw$rw <- rw .rw$max_value <- max_value + .rw$conf.index <- conf.index + + class(.rw) <- append(class(.rw), 'rw_orig') + return (.rw) +} + +#' @export +rw_unit <- function (.rw = rw(), conf.index) { + stopifnot(inherits(.rw, 'rw')) + + .rw$conf.index=conf.index + .rw$rw <- rep(1,length(conf.index)) + .rw$max_value <- 1.0 class(.rw) <- append(class(.rw), 'rw_orig') + class(.rw) <- append(class(.rw), 'rw_meta') return (.rw) } @@ -183,11 +197,11 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { } rw_1 <- rw_1*rw$max_value rw_2 <- rw_2*rw$max_value - - rw$rw <- rbind(rw_1, rw_2) + + rw$rw <- c(rw_1, rw_2) max_value <- max(rw$rw) rw$rw <- rw$rw/max_value - rw$conf.index <- rbind(conf_1, conf_2) + rw$conf.index <- c(conf_1, conf_2) rw$max_value <- max_value return (invisible(rw)) diff --git a/man/addStat.cf.Rd b/man/addStat.cf.Rd deleted file mode 100644 index 06390c5fe..000000000 --- a/man/addStat.cf.Rd +++ /dev/null @@ -1,34 +0,0 @@ -\name{addStat.cf} -\alias{addStat.cf} -\title{Combine statistics of two cf objects} -\description{ - \code{addStat.cf} takes the raw data of two \code{cf} objects and - combines them into one -} -\usage{ -addStat.cf(cf1, cf2) -} -\arguments{ - \item{cf1}{ - the first of the two \code{cf} objects to be combined - } - \item{cf2}{ - the second of the two \code{cf} objects to be combined - } -} -\value{ - an object of class \code{cf} with the statistics of the two input - \code{cf} objects combined -} -\details{ - Note that the two \code{cf} objects to be combined need to be - compatible. Otherwise, \code{addStat.cf} will abort with an error. -} -\seealso{ - \code{\link{cf}} -} -\examples{ -\dontrun{cf0 <- addStat(cf1=cf1, cf2=cf2)} -} -\author{Carsten Urbach, \email{curbach@gmx.de}} -\keyword{correlation function} diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd deleted file mode 100644 index acc9b3774..000000000 --- a/man/addStat.rw.Rd +++ /dev/null @@ -1,34 +0,0 @@ -\name{addStat.rw} -\alias{addStat.rw} -\title{Combine statistics of two rw objects} -\description{ - \code{addStat.rw} takes the raw data of two \code{rw} objects and - combines them into one -} -\usage{ -addStat.cf(rw1, rw2, reverse1, reverse2) -} -\arguments{ - \item{rw1}{ - the first of the two \code{rw} objects to be combined - } - \item{rw2}{ - the second of the two \code{rw} objects to be combined - } -} -\value{ - an object of class \code{rw} with the statistics of the two input - \code{rw} objects combined -} -\details{ - Note that the two \code{rw} objects to be combined need to be - compatible. Otherwise, \code{addStat.rw} will abort with an error. -} -\seealso{ - \code{\link{rw}} -} -\examples{ -\dontrun{rw0 <- addStat(rw1=rw1, rw2=rw2)} -} -\author{Carsten Urbach, \email{curbach@gmx.de}} -\keyword{correlation function} From 12f0654634fce3826c18b67c8f49e04217b44cec Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 16:07:53 +0200 Subject: [PATCH 09/85] corrected errors --- R/rw.R | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/R/rw.R b/R/rw.R index ed141afa9..4036e02aa 100644 --- a/R/rw.R +++ b/R/rw.R @@ -47,6 +47,7 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { .rw$conf.index <- conf.index class(.rw) <- append(class(.rw), 'rw_orig') + class(.rw) <- append(class(.rw), 'rw_meta') return (.rw) } @@ -55,7 +56,7 @@ rw_unit <- function (.rw = rw(), conf.index) { stopifnot(inherits(.rw, 'rw')) .rw$conf.index=conf.index - .rw$rw <- rep(1,length(conf.index)) + .rw$rw <- rep(1.0,length(conf.index)) .rw$max_value <- 1.0 class(.rw) <- append(class(.rw), 'rw_orig') @@ -91,17 +92,19 @@ is_empty.rw <- function (.rw) { #' #' @export multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { + stopifnot(inherits(rw1, 'rw')) stopifnot(inherits(rw2, 'rw')) stopifnot(inherits(rw1, 'rw_orig')) stopifnot(inherits(rw2, 'rw_orig')) stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) - stopifnot(all(dim(rw$rw) == dim(rw2$rw))) + #stopifnot(all(dim(rw$rw) == dim(rw2$rw))) stopifnot(rw1$conf.index == rw2$conf.index) rw <- rw1 rw$rw <- exp(nf1*rw1$rw + nf2*rw2$rw) + return(rw) } @@ -195,8 +198,8 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { rw_2 <- rw2$rw conf_2 <- rw2$conf.index } - rw_1 <- rw_1*rw$max_value - rw_2 <- rw_2*rw$max_value + rw_1 <- rw_1*rw1$max_value + rw_2 <- rw_2*rw2$max_value rw$rw <- c(rw_1, rw_2) max_value <- max(rw$rw) From add1d1a0e2338fa36e0eae4b4e57c634c0d813ef Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 16:31:25 +0200 Subject: [PATCH 10/85] after multiplying two reweighting factors, you could not increase statistics by addStat --- R/readutils.R | 9 +++------ R/rw.R | 24 ++++++++++++++++++++---- 2 files changed, 23 insertions(+), 10 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 7de683dc8..608a9534c 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -361,22 +361,19 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_ # Number of reweighted determinants for each gauge configuration n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) + stopifnot(n_rew_factors == 1) # Exponentianing and Averaging over the stochastic samples tmp2 <- matrix(tmp$V7,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) tmp3 <- apply(exp(-tmp2),2,mean) -# Taking the product for the different determinants - tmp4 <- matrix(tmp3,nrow=n_rew_factors,ncol=length(gauge_conf_list)) - tmp5 <- apply(tmp4,2,prod) - # Normalize the largest reweighting factor to be one and storing this factor # this is neccessary due to the large value of the reweighting factor # after exponentiating - tmp6 <- tmp5/max(tmp5) + tmp4 <- tmp3/max(tmp3) - ret <- rw_orig(ret, rw = tmp6, max_value = max(tmp5)) + ret <- rw_orig(ret, rw = tmp4, max_value = max(tmp3)) } #' @title reader for Nissa text format correlation functions diff --git a/R/rw.R b/R/rw.R index 4036e02aa..47dfcdc86 100644 --- a/R/rw.R +++ b/R/rw.R @@ -48,6 +48,7 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { class(.rw) <- append(class(.rw), 'rw_orig') class(.rw) <- append(class(.rw), 'rw_meta') + class(.rw) <- append(class(.rw), 'rw_norm') return (.rw) } @@ -88,22 +89,29 @@ is_empty.rw <- function (.rw) { #' #' @return #' The value is -#' \deqn{exp(C_1*nf1)*exp(C_2*nf2) \,.} +#' \deqn{rw_1*nf1*rw_2*nf2) \,.} #' #' @export multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { stopifnot(inherits(rw1, 'rw')) stopifnot(inherits(rw2, 'rw')) + stopifnot(inherits(rw1, 'rw_orig')) stopifnot(inherits(rw2, 'rw_orig')) + stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) - #stopifnot(all(dim(rw$rw) == dim(rw2$rw))) + stopifnot(rw1$conf.index == rw2$conf.index) - rw <- rw1 - rw$rw <- exp(nf1*rw1$rw + nf2*rw2$rw) + rw <- rw() + rw$rw <- nf1*rw1$rw * nf2*rw2$rw + rw$max_value <- NA + rw$conf.index <- rw1$conf.index + + class(rw) <- append(class(rw), 'rw_orig') + class(rw) <- append(class(rw), 'rw_meta') return(rw) } @@ -174,8 +182,16 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { return (invisible(rw1)) } + stopifnot(inherits(rw1, 'rw_orig')) + stopifnot(inherits(rw2, 'rw_orig')) + + stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) + + stopifnot(inherits(rw1, 'rw_norm')) + stopifnot(inherits(rw2, 'rw_norm')) + #stopifnot(identical(rw1$conf.index == rw2$conf.index)) #stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) From 32e577aca9c13b6852b3b798b4ed5058d6c92686 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 17:24:42 +0200 Subject: [PATCH 11/85] correcting error --- R/readutils.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/readutils.R b/R/readutils.R index 608a9534c..cef04032c 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -373,7 +373,7 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_ # after exponentiating tmp4 <- tmp3/max(tmp3) - ret <- rw_orig(ret, rw = tmp4, max_value = max(tmp3)) + ret <- rw_orig(ret, rw = tmp4, conf.index=gauge_conf_list, max_value = max(tmp3)) } #' @title reader for Nissa text format correlation functions From bed0b438193c1fc7be0877731a961976e87719ad Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 22:48:14 +0200 Subject: [PATCH 12/85] Implementing reweighting: setting the bootstrap or jackknife samples for the generated cf objects, and invalidating cf_orig, introduces a new class property cfrw_boot, if this option is on, than resampling the correlation function should not be allowed --- R/cf.R | 274 +++++++++++++++++++++++++++++++++++++++++++++++++- R/readutils.R | 6 ++ 2 files changed, 279 insertions(+), 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index abc64458b..ae380d6ed 100644 --- a/R/cf.R +++ b/R/cf.R @@ -47,7 +47,8 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised return (.cf) } -#' Bootstrapped CF mixin constructor + +#' Bootstrapped CF reweighting constructor #' #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. @@ -56,11 +57,14 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised #' @param sim Character, `sim` argument of \link[boot]{tsboot}. #' @param cf.tsboot List, result from the \link[boot]{tsboot} function. #' @param resampling_method Character, either 'bootstrap' or 'jackknife' +#' @param rw 'rw' object that contains the reweighting factors #' #' @details #' #' The following fields will also be made available: #' +#' - `rw` : Numeric vector, weight of each gauge configuration +#' - 'rw0': Numeric, average of the weighting factors #' - `cf0`: Numeric vector, mean value of original measurements, convenience copy of `cf.tsboot$t0`. #' - `tsboot.se`: Numeric vector, standard deviation over bootstrap samples. #' - `boot.samples`: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with `inherits(cf, 'cf_boot')`. @@ -99,6 +103,67 @@ cf_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, resamplin return (.cf) } + + +#' Bootstrapped reweighted CF mixin constructor +#' +#' @param .cf `cf` object to extend. +#' @param boot.R Integer, number of bootstrap samples used. +#' @param boot.l Integer, block length in the time-series bootstrap process. +#' @param seed Integer, random number generator seed used in bootstrap. +#' @param sim Character, `sim` argument of \link[boot]{tsboot}. +#' @param cf.tsboot List, result from the \link[boot]{tsboot} function. +#' @param rwcf.tsboot List, result from the \link[boot]{tsboot} function. +#' @param rw.tsboot List, result from the \link[boot]{tsboot} function. +#' @param resampling_method Character, either 'bootstrap' or 'jackknife' +#' +#' @details +#' +#' The following fields will also be made available: +#' +#' - `cf0`: Numeric vector, mean value of reweighted original measurements: /. +#' - `tsboot.se`: Numeric vector, standard deviation over bootstrap samples. +#' - `boot.samples`: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with `inherits(cf, 'cf_boot')`. +#' - `error_fn`: Function, takes a vector of samples and computes the error. In the bootstrap case this is just the `sd` function. Use this function instead of a `sd` in order to make the code compatible with jackknife samples. +#' +#' @family cf constructors +#' +#' @export +cfrw_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.tsboot, rw.tsboot, resampling_method = 'bootstrap') { + stopifnot(inherits(.cf, 'cf')) + + .cf$boot.R <- boot.R + .cf$boot.l <- boot.l + .cf$seed <- seed + .cf$sim <- sim + .cf$cf.tsboot <- cf.tsboot + + if (resampling_method == 'bootstrap') { + .cf$error_fn <- sd + .cf$cov_fn <- cov + } + else if (resampling_method == 'jackknife') { + .cf$error_fn <- function (...) jackknife_error(..., boot.l = boot.l) + .cf$cov_fn <- jackknife_cov + } else { + stop('This resampling method is not implemented') + } + + .cf$resampling_method <- resampling_method + + .cf$cf0 <- rwcf.tsboot$t0/rw.tsboot$t0 + .cf$cf.tsboot$t <- rwcf.tsboot$t/rw.tsboot$t + .cf$tsboot.se <- apply(.cf$cf.tsboot$t/rw.tsboot$t, MARGIN = 2L, FUN = .cf$error_fn) + .cf$boot.samples <- TRUE + + class(.cf) <- append(class(.cf), 'cf_boot') + class(.cf) <- append(class(.cf), 'cfrw_boot') + + class(.cf) <- setdiff(class(.cf), 'cf_orig') + + return (.cf) +} + #' Estimates error from jackknife samples #' #' Currently this uses the mean over the jackknife samples in order to compute @@ -355,6 +420,107 @@ gen.block.array <- function(n, R, l, endcorr=TRUE) { return(list(starts = st, lengths = lens)) } +#' Computes the samples for reweighted correlation function +#' +#' @param cf `cf` object. +#' @param rw `rw` object. +#' @param nsamples Integer (Number of stochastic samples) +#' @param boot.R Integer +#' @param boot.l Integer +#' @param seed Integer +#' @param sim string +#' @param endcorr boolean +#' @export +bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, sim="geom", endcorr=TRUE) { + stopifnot(inherits(cf, 'cf_orig')) + stopifnot(inherits(rw, 'rw_orig')) + stopifnot(inherits(rw, 'rw_meta')) + + ##We should also check that the cf object and the rw object contains the same gauge configurations + + stopifnot( nrow(cf$cf) ==nsamples*length(rw$conf.index) ) + + ##Average over the samples + + tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ + new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(rw$conf.index)); + new2 <- apply(new,2,mean); + new2 + } + ) + cf$cf <- do.call(cbind,tmp) + + boot.l <- ceiling(boot.l) + boot.R <- floor(boot.R) + + stopifnot(boot.l >= 1) + stopifnot(boot.l <= nrow(cf$cf)) + stopifnot(boot.R >= 1) + + ##Construct correlation function for the reweighting samples + rw_cf <- cf + rw_cf$cf <- replicate(ncol(cf$cf), rw$rw) + + ## save random number generator state + if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) + temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) + else + temp <- NULL + + ## we set the seed for reproducability and correlation + old_seed <- swap_seed(seed) + + ## now we bootstrap the correlators + cf.tsboot <- boot::tsboot(cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, + R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) + + restore_seed(old_seed) + + ## save random number generator state + if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) + temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) + else + temp <- NULL + + ## we set the seed for reproducability and correlation + old_seed <- swap_seed(seed) + + ## now we bootstrap the correlators*reweighting factor + rwcf.tsboot <- boot::tsboot(cf$cf*rw_cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, + R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) + + + restore_seed(old_seed) + + ## save random number generator state + if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) + temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) + else + temp <- NULL + + ## we set the seed for reproducability and correlation + old_seed <- swap_seed(seed) + + ## now we bootstrap the reweighting factor + rw.tsboot <- boot::tsboot(rw_cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, + R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) + + + + cf <- cfrw_boot(cf, + boot.R = boot.R, + boot.l = boot.l, + seed = seed, + sim = sim, + cf.tsboot = cf.tsboot, + rwcf.tsboot = rwcf.tsboot, + rw.tsboot=rw.tsboot) + + restore_seed(old_seed) + + return(invisible(cf)) +} + bootstrap.cf <- function(cf, boot.R=400, boot.l=2, seed=1234, sim="geom", endcorr=TRUE) { stopifnot(inherits(cf, 'cf_orig')) @@ -389,6 +555,7 @@ bootstrap.cf <- function(cf, boot.R=400, boot.l=2, seed=1234, sim="geom", endcor return(invisible(cf)) } + jackknife.cf <- function(cf, boot.l = 1) { stopifnot(inherits(cf, 'cf_orig')) @@ -427,8 +594,113 @@ jackknife.cf <- function(cf, boot.l = 1) { resampling_method = 'jackknife') return (invisible(cf)) + } + +jackknife_rw.cf <- function(cf, rw, nsamples, boot.l = 1) { + stopifnot(inherits(cf, 'cf_orig')) + stopifnot(inherits(rw, 'rw_orig')) + stopifnot(inherits(rw, 'rw_meta')) + + ##We should also check that the cf object and the rw object contains the same gauge configurations + + stopifnot( nrow(cf$cf) == nsamples*length(rw$conf.index) ) + + ##Average over the samples + + tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ + new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(rw$conf.index)); + new2 <- apply(new,2,mean); + new2 + } + ) + cf$cf <- do.call(cbind,tmp) + + stopifnot(boot.l >= 1) + boot.l <- ceiling(boot.l) + + ##Construct correlation function for the reweighting samples + rw_cf <- cf + rw_cf$cf <- replicate(ncol(cf$cf), rw$rw) + + + ## blocking with fixed block length, but overlapping blocks + ## number of observations + n <- nrow(cf$cf) + ## number of overlapping blocks + N <- n-boot.l+1 + + + tmp <- apply(cf$cf, 2, mean) + + t <- array(NA, dim = c(N, ncol(cf$cf))) + t0 <- tmp + for (i in 1:N) { + ## The measurements that we are going to leave out. + ii <- c(i:(i+boot.l-1)) + ## jackknife replications of the mean + t[i, ] <- + + numerator <- apply(cf$cf[-ii, ]* rw_cf$cf[ ii, ], 2L, mean) + denominator <- apply( rw_cf$cf[ ii, ] , 2L, mean ) + t[i, ] < numerator/denominator + } + + + cf.tsboot <- list(t = t, + t0 = t0, + R = N, + l = boot.l) + + + tmp <- apply(rw_cf$cf*cf$cf, 2, mean) + + t <- array(NA, dim = c(N, ncol(cf$cf))) + t0 <- tmp + for (i in 1:N) { + ## The measurements that we are going to leave out. + ii <- c(i:(i+boot.l-1)) + ## jackknife replications of the mean + t[i, ] <- apply(cf$cf[-ii, ]* rw_cf$cf[ ii, ], 2L, mean) + } + + + rwcf.tsboot <- list(t = t, + t0 = t0, + R = N, + l = boot.l) + + + tmp <- apply(rw_cf$cf*cf$cf, 2, mean) + + t <- array(NA, dim = c(N, ncol(cf$cf))) + t0 <- tmp + for (i in 1:N) { + ## The measurements that we are going to leave out. + ii <- c(i:(i+boot.l-1)) + ## jackknife replications of the mean + t[i, ] <- apply( rw_cf$cf[ ii, ], 2L, mean) + } + + + rwcf.tsboot <- list(t = t, + t0 = t0, + R = N, + l = boot.l) + cf <- invalidate.samples.cf(cf) + cf <- cfrw_boot(cf, + boot.R = cf.tsboot$R, + boot.l = cf.tsboot$l, + seed = 0, + sim = 'geom', + cf.tsboot = cf.tsboot, + rwcf.tsboot = rwcf.tsboot, + rw.tsboot = rw.tsboot, + resampling_method = 'jackknife') + + return (invisible(cf)) +} # Gamma method analysis on all time-slices in a 'cf' object uwerr.cf <- function(cf, absval=FALSE){ stopifnot(inherits(cf, 'cf_orig')) diff --git a/R/readutils.R b/R/readutils.R index cef04032c..091082b70 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -360,8 +360,14 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_ # Number of reweighted determinants for each gauge configuration + print(length(tmp$V7)) + print(nsamples) + print(length(gauge_conf_list)) + n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) + print(n_rew_factors) stopifnot(n_rew_factors == 1) + # Exponentianing and Averaging over the stochastic samples From b88a01a1903461585a32e67f3e4d4837f0de8cd1 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 22:52:01 +0200 Subject: [PATCH 13/85] removing testing print statements --- R/readutils.R | 5 ----- 1 file changed, 5 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 091082b70..643d3aae9 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -360,12 +360,7 @@ readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_ # Number of reweighted determinants for each gauge configuration - print(length(tmp$V7)) - print(nsamples) - print(length(gauge_conf_list)) - n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) - print(n_rew_factors) stopifnot(n_rew_factors == 1) From 95e7ce742f08c0801337a9c07da3a3bcf1118087 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Sep 2019 23:16:24 +0200 Subject: [PATCH 14/85] correcting errors --- R/cf.R | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/R/cf.R b/R/cf.R index ae380d6ed..9a7d4a74a 100644 --- a/R/cf.R +++ b/R/cf.R @@ -49,7 +49,7 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised #' Bootstrapped CF reweighting constructor -#' + #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. #' @param boot.l Integer, block length in the time-series bootstrap process. @@ -57,14 +57,11 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised #' @param sim Character, `sim` argument of \link[boot]{tsboot}. #' @param cf.tsboot List, result from the \link[boot]{tsboot} function. #' @param resampling_method Character, either 'bootstrap' or 'jackknife' -#' @param rw 'rw' object that contains the reweighting factors #' #' @details #' #' The following fields will also be made available: #' -#' - `rw` : Numeric vector, weight of each gauge configuration -#' - 'rw0': Numeric, average of the weighting factors #' - `cf0`: Numeric vector, mean value of original measurements, convenience copy of `cf.tsboot$t0`. #' - `tsboot.se`: Numeric vector, standard deviation over bootstrap samples. #' - `boot.samples`: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with `inherits(cf, 'cf_boot')`. @@ -106,7 +103,7 @@ cf_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, resamplin #' Bootstrapped reweighted CF mixin constructor -#' + #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. #' @param boot.l Integer, block length in the time-series bootstrap process. @@ -165,7 +162,7 @@ cfrw_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.ts } #' Estimates error from jackknife samples -#' + #' Currently this uses the mean over the jackknife samples in order to compute #' the error. It would be better in the case of a bias to use the mean over the #' original data instead. This would require a second parameter and therefore @@ -211,7 +208,7 @@ jackknife_error <- function (samples, boot.l = 1, na.rm = FALSE) { } #' Computes covariance matrix for jackknife samples. -#' + #' @param na.rm logical. The rows containing any `NA` will be deleted if this #' option is set. #' From 7275044ddb25351b2bd62a455e19c71b6b9a0dd0 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 1 Oct 2019 10:00:46 +0200 Subject: [PATCH 15/85] Performing gauge conf list check in reweighting --- R/cf.R | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/R/cf.R b/R/cf.R index 9a7d4a74a..45e8819d8 100644 --- a/R/cf.R +++ b/R/cf.R @@ -432,8 +432,13 @@ bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) + stopifnot(inherits(cf, 'cf_index')) + ##We should also check that the cf object and the rw object contains the same gauge configurations + + + stopifnot(rw$conf.index == cf$conf.index) stopifnot( nrow(cf$cf) ==nsamples*length(rw$conf.index) ) @@ -734,6 +739,7 @@ addConfIndex2cf <- function(cf, conf.index) { if(is.null(cf$conf.index)) { cf$conf.index <- conf.index } + class(cf) <- append(class(cf), 'cf_indexed') return(cf) } @@ -751,6 +757,9 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(cf1, 'cf_meta')) stopifnot(inherits(cf2, 'cf_meta')) + ##Either both should have an index or none of them + stopifnot(inherits(cf1, 'cf_indexed') == inherits(cf1, 'cf_indexed') ) + stopifnot(cf1$Time == cf2$Time) stopifnot(dim(cf1$cf)[2] == dim(cf2$cf)[2]) stopifnot(cf1$nrObs == cf2$nrObs ) @@ -774,6 +783,17 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { apply(icf2_temp,2,rev) } } + if (inherits(cf1, 'cf_indexed')){ + conflist_temp1 <- cf1$conf.index + if (reverse1 == TRUE){ + conflist_temp1 <- rev(conflist_temp1) + } + conflist_temp2 <- cf2$conf.index + if (reverse2 == TRUE){ + conflist_temp2 <- rev(conflist_temp2) + } + cf$conf.index <- c(conflist_temp1,conflist_temp2) + } cf$cf <- rbind(cf1_temp, cf2_temp) From c9aa2a568a6654c6b4279a1ea371ee9a735f88ed Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 1 Oct 2019 10:03:17 +0200 Subject: [PATCH 16/85] Including it in jackknife as well --- R/cf.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/R/cf.R b/R/cf.R index 45e8819d8..9b9861767 100644 --- a/R/cf.R +++ b/R/cf.R @@ -604,6 +604,9 @@ jackknife_rw.cf <- function(cf, rw, nsamples, boot.l = 1) { stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) + stopifnot(inherits(cf, 'cf_index')) + + stopifnot(rw1$conf.index == rw2$conf.index) ##We should also check that the cf object and the rw object contains the same gauge configurations From a87155705d37f24b69b7e4d2b6389a8e669aa9c6 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 1 Oct 2019 10:30:47 +0200 Subject: [PATCH 17/85] Typo corrected --- R/cf.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index 9b9861767..816907f24 100644 --- a/R/cf.R +++ b/R/cf.R @@ -432,7 +432,7 @@ bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) - stopifnot(inherits(cf, 'cf_index')) + stopifnot(inherits(cf, 'cf_indexed')) ##We should also check that the cf object and the rw object contains the same gauge configurations From 6e6664d9ccbf8123ce9e283c9d486aaed68bb032 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 16:25:40 +0200 Subject: [PATCH 18/85] Specify dependency on dplyr --- R/readutils.R | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 643d3aae9..71edb6191 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -344,19 +344,22 @@ readtextcf <- function(file, T=48, sym=TRUE, path="", skip=1, check.t=0, ind.vec return (invisible(ret)) } #' @title reading reweighting factors for a list of gauge configuration -#' and random samples from ASCII files in CMI format +#' and random samples from ASCII files #' @param file_names_to_read list of filenames for the reweighting factors #' @param gauge_conf_list <- a list of integers with the indices of the gauge configs #' @param nsamples number of stochastic samples used for computing the reweighting factors -readcmi.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id ) +read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id ) { stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) # Select the reweighting factor for a particular monomial + + dplyr_avail <- requireNamespace("dplyr") + stopifnot(dplyr_avail) - tmp <- filter(tmp,V1==monomial_id) + tmp <- dplyr::filter(tmp,V1==monomial_id) # Number of reweighted determinants for each gauge configuration From ed4879c503fb3e18c6a2d6c4bf4f19e714b726e7 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 16:27:50 +0200 Subject: [PATCH 19/85] function that averages correlation functions just over the stochastic samples included --- R/cf.R | 25 ++++++++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index 816907f24..4bf77f840 100644 --- a/R/cf.R +++ b/R/cf.R @@ -604,7 +604,7 @@ jackknife_rw.cf <- function(cf, rw, nsamples, boot.l = 1) { stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) - stopifnot(inherits(cf, 'cf_index')) + stopifnot(inherits(cf, 'cf_indexed')) stopifnot(rw1$conf.index == rw2$conf.index) @@ -827,6 +827,29 @@ avg.ls.cf <- function(cf, cols = c(2, 3)) { return (cf) } +## averages correlation functions over different random sources +avg.samples.cf <- function(cf, nsamples) { + + stopifnot(inherits(cf, 'cf_orig')) + + stopifnot(inherits(cf, 'cf_indexed')) + + stopifnot(length(cf$conf.index)*nsamples == nrow(cf$cf)) + + ##Average over the samples + + tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ + new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(cf$conf.index)); + new2 <- apply(new,2,mean); + new2 + } + ) + cf$cf <- do.call(cbind,tmp) + + return (invisible(cf)) + +} + # "close-by-times" averaging replaces the value of the correlation function at t # with the "hypercubic" average with the values at the neighbouring time-slices # with weights 0.25, 0.5 and 0.25 From b35557cfb8f94e9a93c8d7faf9452c30b8a1b040 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 16:41:37 +0200 Subject: [PATCH 20/85] Comparing two vectors with identical() --- R/rw.R | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/R/rw.R b/R/rw.R index 47dfcdc86..c1e466e8d 100644 --- a/R/rw.R +++ b/R/rw.R @@ -5,12 +5,10 @@ #' factors for each gauge configuration, that can be applied on #' correlation functions emerging in statistical and quantum field theory #' simulations. Arithmetic operations are defined for this class in -#' several ways, as well as concatenation and \link{is.rw}. +#' several ways, as well as for increasing statistics and \link{is.rw}. #' #' @details -#' -#' And last but not least, these are the fields that are used somewhere in the library but we have not figured out which mixin these should belong to: -#' +#'#' #' @family rw constructors #' #' @export @@ -48,6 +46,9 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { class(.rw) <- append(class(.rw), 'rw_orig') class(.rw) <- append(class(.rw), 'rw_meta') + + ## Norm is needed in order to be able to extend statistics + ## If the object does not have `rw_norm` it cannot be extended class(.rw) <- append(class(.rw), 'rw_norm') return (.rw) } @@ -62,6 +63,7 @@ rw_unit <- function (.rw = rw(), conf.index) { class(.rw) <- append(class(.rw), 'rw_orig') class(.rw) <- append(class(.rw), 'rw_meta') + class(.rw) <- append(class(.rw), 'rw_norm') return (.rw) } @@ -81,7 +83,7 @@ is_empty.rw <- function (.rw) { } -#' Arithmetically multiplies two reweighting factors functions +#' Arithmetically multiplies two reweighting factors #' #' @param rw1,rw2 `rw_orig` object. #' @param nf1,nf2 Integer. Factors that determines the number of flavours you @@ -103,7 +105,7 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) - stopifnot(rw1$conf.index == rw2$conf.index) + stopifnot(identical( rw1$conf.index, rw2$conf.index )) rw <- rw() rw$rw <- nf1*rw1$rw * nf2*rw2$rw From 1240d30fdb97077e63e2b3ee94cf0454c87e3594 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:01:35 +0200 Subject: [PATCH 21/85] by mistake I have deleted man/addStat.cf.Rd --- man/addStat.cf.Rd | 40 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 man/addStat.cf.Rd diff --git a/man/addStat.cf.Rd b/man/addStat.cf.Rd new file mode 100644 index 000000000..d8b4cb8c7 --- /dev/null +++ b/man/addStat.cf.Rd @@ -0,0 +1,40 @@ +\name{addStat.cf} +\alias{addStat.cf} +\title{Combine statistics of two cf objects} +\description{ + \code{addStat.cf} takes the raw data of two \code{cf} objects and + combines them into one. +} +\usage{ +addStat.cf(cf1, cf2, reverse1, reverse2) +} +\arguments{ + \item{cf1}{ + the first of the two \code{cf} objects to be combined + } + \item{cf2}{ + the second of the two \code{cf} objects to be combined + } + \item{reverse1}{ + the first of the two object should be reversed if TRUE + } + \item{reverse2}{ + the second of the two object should be reversed if TRUE + } +} +\value{ + an object of class \code{cf} with the statistics of the two input + \code{cf} objects combined +} +\details{ + Note that the two \code{cf} objects to be combined need to be + compatible. Otherwise, \code{addStat.cf} will abort with an error. +} +\seealso{ + \code{\link{cf}} +} +\examples{ +\dontrun{cf0 <- addStat(cf1=cf1, cf2=cf2)} +} +\author{Carsten Urbach, \email{curbach@gmx.de},Ferenc Pittler \email{pittler@hiskp.uni-bonn.de}} +\keyword{correlation function} From 191f0ba64b3aee13e6a2b23e125f9a261e90918b Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:17:09 +0200 Subject: [PATCH 22/85] Errors for Rd file jackknife corrected --- R/cf.R | 2 +- man/cf.Rd | 3 ++- man/cf_boot.Rd | 7 ++++--- man/cf_meta.Rd | 3 ++- man/cf_orig.Rd | 3 ++- man/cf_principal_correlator.Rd | 3 ++- man/cf_shifted.Rd | 3 ++- man/cf_smeared.Rd | 3 ++- man/cf_subtracted.Rd | 3 ++- man/cf_weighted.Rd | 3 ++- 10 files changed, 21 insertions(+), 12 deletions(-) diff --git a/R/cf.R b/R/cf.R index 4bf77f840..619339c8b 100644 --- a/R/cf.R +++ b/R/cf.R @@ -162,7 +162,7 @@ cfrw_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.ts } #' Estimates error from jackknife samples - +#' #' Currently this uses the mean over the jackknife samples in order to compute #' the error. It would be better in the case of a bias to use the mean over the #' original data instead. This would require a second parameter and therefore diff --git a/man/cf.Rd b/man/cf.Rd index 28334b3a6..81f816423 100644 --- a/man/cf.Rd +++ b/man/cf.Rd @@ -27,6 +27,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_subtracted}}, \code{\link{cf_weighted}} + \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, + \code{\link{cfrw_boot}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_boot.Rd b/man/cf_boot.Rd index 8e9e16ce7..9f952a38a 100644 --- a/man/cf_boot.Rd +++ b/man/cf_boot.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/cf.R \name{cf_boot} \alias{cf_boot} -\title{Bootstrapped CF mixin constructor} +\title{Bootstrapped CF constructor} \usage{ cf_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, resampling_method = "bootstrap") @@ -23,7 +23,7 @@ cf_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, \item{resampling_method}{Character, either 'bootstrap' or 'jackknife'} } \description{ -Bootstrapped CF mixin constructor +Bootstrapped CF reweighting constructor } \details{ The following fields will also be made available: @@ -40,6 +40,7 @@ Other cf constructors: \code{\link{cf_meta}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}} + \code{\link{cfrw_boot}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_meta.Rd b/man/cf_meta.Rd index 179f8b659..9ce6ff3e4 100644 --- a/man/cf_meta.Rd +++ b/man/cf_meta.Rd @@ -27,6 +27,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}} + \code{\link{cfrw_boot}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_orig.Rd b/man/cf_orig.Rd index 950a1c3be..cbd6b5d87 100644 --- a/man/cf_orig.Rd +++ b/man/cf_orig.Rd @@ -22,6 +22,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}} + \code{\link{cfrw_boot}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_principal_correlator.Rd b/man/cf_principal_correlator.Rd index 9acdd6578..ed430770b 100644 --- a/man/cf_principal_correlator.Rd +++ b/man/cf_principal_correlator.Rd @@ -23,6 +23,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}} + \code{\link{cfrw_boot}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_shifted.Rd b/man/cf_shifted.Rd index aa5f62852..4afa6819a 100644 --- a/man/cf_shifted.Rd +++ b/man/cf_shifted.Rd @@ -27,6 +27,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, - \code{\link{cf_weighted}}, \code{\link{cf}} + \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_smeared.Rd b/man/cf_smeared.Rd index 08c2b76ad..1c89e63f2 100644 --- a/man/cf_smeared.Rd +++ b/man/cf_smeared.Rd @@ -31,6 +31,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_subtracted}}, - \code{\link{cf_weighted}}, \code{\link{cf}} + \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_subtracted.Rd b/man/cf_subtracted.Rd index 20804a953..b45261462 100644 --- a/man/cf_subtracted.Rd +++ b/man/cf_subtracted.Rd @@ -21,6 +21,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_weighted}}, \code{\link{cf}} + \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_weighted.Rd b/man/cf_weighted.Rd index b8be9dec0..83dcaf16d 100644 --- a/man/cf_weighted.Rd +++ b/man/cf_weighted.Rd @@ -31,6 +31,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_subtracted}}, \code{\link{cf}} + \code{\link{cf_subtracted}}, \code{\link{cfrw_boot}}, + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} From 430be22a13620133aa3bb8b40801c8bffd3a36eb Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:19:24 +0200 Subject: [PATCH 23/85] Errors for Rd file cf_boot corrected --- R/cf.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/cf.R b/R/cf.R index 619339c8b..ae13c91d7 100644 --- a/R/cf.R +++ b/R/cf.R @@ -48,8 +48,8 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised } -#' Bootstrapped CF reweighting constructor - +#' Bootstrapped CF constructor +#' #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. #' @param boot.l Integer, block length in the time-series bootstrap process. From 08ef5890c86a943c2cb84a30e0d37dcf5280cc0d Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:21:17 +0200 Subject: [PATCH 24/85] Further errors corrected --- R/cf.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index ae13c91d7..2af02d42c 100644 --- a/R/cf.R +++ b/R/cf.R @@ -103,7 +103,7 @@ cf_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, resamplin #' Bootstrapped reweighted CF mixin constructor - +#' #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. #' @param boot.l Integer, block length in the time-series bootstrap process. From 0bbd5a247691dee6d8362a7c9f94365d6cca9b67 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:22:19 +0200 Subject: [PATCH 25/85] Correct cf_boot --- man/cf_boot.Rd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/man/cf_boot.Rd b/man/cf_boot.Rd index 9f952a38a..bc29f0f07 100644 --- a/man/cf_boot.Rd +++ b/man/cf_boot.Rd @@ -23,7 +23,7 @@ cf_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, \item{resampling_method}{Character, either 'bootstrap' or 'jackknife'} } \description{ -Bootstrapped CF reweighting constructor +Bootstrapped CF constructor } \details{ The following fields will also be made available: From fc6e7dd8f8ec86b837a40c511c44f746802a1926 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 2 Oct 2019 17:25:53 +0200 Subject: [PATCH 26/85] additional Rd files uploaded --- man/addStat.rw.Rd | 20 +++++++++++++++++ man/bootstrap_rw.cf.Rd | 29 +++++++++++++++++++++++++ man/cfrw_boot.Rd | 49 ++++++++++++++++++++++++++++++++++++++++++ man/is.rw.Rd | 14 ++++++++++++ man/is_empty.rw.Rd | 21 ++++++++++++++++++ man/multiply.rw.Rd | 21 ++++++++++++++++++ man/plot.rw.Rd | 21 ++++++++++++++++++ man/read.rw.Rd | 20 +++++++++++++++++ man/rw.Rd | 20 +++++++++++++++++ man/rw_meta.Rd | 25 +++++++++++++++++++++ man/times-.cf.Rd | 14 ++++++++++++ 11 files changed, 254 insertions(+) create mode 100644 man/addStat.rw.Rd create mode 100644 man/bootstrap_rw.cf.Rd create mode 100644 man/cfrw_boot.Rd create mode 100644 man/is.rw.Rd create mode 100644 man/is_empty.rw.Rd create mode 100644 man/multiply.rw.Rd create mode 100644 man/plot.rw.Rd create mode 100644 man/read.rw.Rd create mode 100644 man/rw.Rd create mode 100644 man/rw_meta.Rd create mode 100644 man/times-.cf.Rd diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd new file mode 100644 index 000000000..bd43d8e5f --- /dev/null +++ b/man/addStat.rw.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{addStat.rw} +\alias{addStat.rw} +\title{Combine statistics for reweighting factor} +\usage{ +addStat.rw(rw1, rw2, reverse1 = FALSE, reverse2 = FALSE) +} +\arguments{ +\item{rw1}{\code{rw} object} + +\item{rw2}{\code{rw} object} + +\item{reverse1}{boolean object} + +\item{reverse1}{boolean object} +} +\description{ +Combine statistics for reweighting factor +} diff --git a/man/bootstrap_rw.cf.Rd b/man/bootstrap_rw.cf.Rd new file mode 100644 index 000000000..98be69ba1 --- /dev/null +++ b/man/bootstrap_rw.cf.Rd @@ -0,0 +1,29 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/cf.R +\name{bootstrap_rw.cf} +\alias{bootstrap_rw.cf} +\title{Computes the samples for reweighted correlation function} +\usage{ +bootstrap_rw.cf(cf, rw, nsamples = 1, boot.R = 400, boot.l = 2, + seed = 1234, sim = "geom", endcorr = TRUE) +} +\arguments{ +\item{cf}{\code{cf} object.} + +\item{rw}{\code{rw} object.} + +\item{nsamples}{Integer (Number of stochastic samples)} + +\item{boot.R}{Integer} + +\item{boot.l}{Integer} + +\item{seed}{Integer} + +\item{sim}{string} + +\item{endcorr}{boolean} +} +\description{ +Computes the samples for reweighted correlation function +} diff --git a/man/cfrw_boot.Rd b/man/cfrw_boot.Rd new file mode 100644 index 000000000..5105308b6 --- /dev/null +++ b/man/cfrw_boot.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/cf.R +\name{cfrw_boot} +\alias{cfrw_boot} +\title{Bootstrapped reweighted CF mixin constructor} +\usage{ +cfrw_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.tsboot, + rw.tsboot, resampling_method = "bootstrap") +} +\arguments{ +\item{.cf}{\code{cf} object to extend.} + +\item{boot.R}{Integer, number of bootstrap samples used.} + +\item{boot.l}{Integer, block length in the time-series bootstrap process.} + +\item{seed}{Integer, random number generator seed used in bootstrap.} + +\item{sim}{Character, \code{sim} argument of \link[boot]{tsboot}.} + +\item{cf.tsboot}{List, result from the \link[boot]{tsboot} function.} + +\item{rwcf.tsboot}{List, result from the \link[boot]{tsboot} function.} + +\item{rw.tsboot}{List, result from the \link[boot]{tsboot} function.} + +\item{resampling_method}{Character, either 'bootstrap' or 'jackknife'} +} +\description{ +Bootstrapped reweighted CF mixin constructor +} +\details{ +The following fields will also be made available: +\itemize{ +\item \code{cf0}: Numeric vector, mean value of reweighted original measurements: /. +\item \code{tsboot.se}: Numeric vector, standard deviation over bootstrap samples. +\item \code{boot.samples}: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with \code{inherits(cf, 'cf_boot')}. +\item \code{error_fn}: Function, takes a vector of samples and computes the error. In the bootstrap case this is just the \code{sd} function. Use this function instead of a \code{sd} in order to make the code compatible with jackknife samples. +} +} +\seealso{ +Other cf constructors: \code{\link{cf_boot}}, + \code{\link{cf_meta}}, \code{\link{cf_orig}}, + \code{\link{cf_principal_correlator}}, + \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, + \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, + \code{\link{cf}}, \code{\link{rw_meta}} +} +\concept{cf constructors} diff --git a/man/is.rw.Rd b/man/is.rw.Rd new file mode 100644 index 000000000..920a5b710 --- /dev/null +++ b/man/is.rw.Rd @@ -0,0 +1,14 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{is.rw} +\alias{is.rw} +\title{Checks whether an object is a rw} +\usage{ +is.rw(x) +} +\arguments{ +\item{x}{Object, possibly of class \code{rw}.} +} +\description{ +Checks whether an object is a rw +} diff --git a/man/is_empty.rw.Rd b/man/is_empty.rw.Rd new file mode 100644 index 000000000..02e93dba8 --- /dev/null +++ b/man/is_empty.rw.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{is_empty.rw} +\alias{is_empty.rw} +\title{Checks whether the cf object contains no data} +\usage{ +is_empty.rw(.rw) +} +\arguments{ +\item{.rw}{\code{rw} object.} +} +\description{ +Checks whether the cf object contains no data +} +\examples{ +# The empty cf object must be empty: +is_empty.cf(cf()) + +# The sample cf must not be empty: +is_empty.cf(samplecf) +} diff --git a/man/multiply.rw.Rd b/man/multiply.rw.Rd new file mode 100644 index 000000000..479010965 --- /dev/null +++ b/man/multiply.rw.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{multiply.rw} +\alias{multiply.rw} +\title{Arithmetically multiplies two reweighting factors} +\usage{ +multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) +} +\arguments{ +\item{rw1, rw2}{\code{rw_orig} object.} + +\item{nf1, nf2}{Integer. Factors that determines the number of flavours you +have for reweighting factor 1 and 2} +} +\value{ +The value is +\deqn{rw_1*nf1*rw_2*nf2) \,.} +} +\description{ +Arithmetically multiplies two reweighting factors +} diff --git a/man/plot.rw.Rd b/man/plot.rw.Rd new file mode 100644 index 000000000..6b9b279f0 --- /dev/null +++ b/man/plot.rw.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{plot.rw} +\alias{plot.rw} +\title{Plot a reweighting factor function} +\usage{ +\method{plot}{rw}(x, neg.vec = rep(1, times = length(rw$rw)), + rep = FALSE, ...) +} +\arguments{ +\item{x}{\code{rw} object} + +\item{neg.vec}{Numeric vector of length \code{rw$rw0}. This allows switching the +sign for certain gauge configurations such that displaying in +log-scale is sensible.} + +\item{rep}{See \code{\link{plotwitherror}}.} +} +\description{ +Plot a reweighting factor function +} diff --git a/man/read.rw.Rd b/man/read.rw.Rd new file mode 100644 index 000000000..2bfe67888 --- /dev/null +++ b/man/read.rw.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/readutils.R +\name{read.rw} +\alias{read.rw} +\title{reading reweighting factors for a list of gauge configuration +and random samples from ASCII files} +\usage{ +read.rw(file_names_to_read, gauge_conf_list, nsamples, monomial_id) +} +\arguments{ +\item{file_names_to_read}{list of filenames for the reweighting factors} + +\item{gauge_conf_list}{<- a list of integers with the indices of the gauge configs} + +\item{nsamples}{number of stochastic samples used for computing the reweighting factors} +} +\description{ +reading reweighting factors for a list of gauge configuration +and random samples from ASCII files +} diff --git a/man/rw.Rd b/man/rw.Rd new file mode 100644 index 000000000..749fe9353 --- /dev/null +++ b/man/rw.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{rw} +\alias{rw} +\title{Reweighting factor container} +\usage{ +rw() +} +\description{ +This function \code{rw()} creates containers for reweighting factors +of class \code{rw}. This class is particularly designed to store reweighting +factors for each gauge configuration, that can be applied on +correlation functions emerging in statistical and quantum field theory +simulations. Arithmetic operations are defined for this class in +several ways, as well as for increasing statistics and \link{is.rw}. +} +\details{ +#' +} +\concept{rw constructors} diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd new file mode 100644 index 000000000..cf0eaeadf --- /dev/null +++ b/man/rw_meta.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{rw_meta} +\alias{rw_meta} +\title{rw metadata mixin constructor} +\usage{ +rw_meta(.rw = rw(), conf.index = NA) +} +\arguments{ +\item{.rw}{\code{rw} object to extend.} + +\item{conf.index}{list of Integers, containing the index of gauge configurations} +} +\description{ +rw metadata mixin constructor +} +\seealso{ +Other cf constructors: \code{\link{cf_boot}}, + \code{\link{cf_meta}}, \code{\link{cf_orig}}, + \code{\link{cf_principal_correlator}}, + \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, + \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, + \code{\link{cfrw_boot}}, \code{\link{cf}} +} +\concept{cf constructors} diff --git a/man/times-.cf.Rd b/man/times-.cf.Rd new file mode 100644 index 000000000..606e09322 --- /dev/null +++ b/man/times-.cf.Rd @@ -0,0 +1,14 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rw.R +\name{*.cf} +\alias{*.cf} +\title{Arithmetically multiply reweighting factors} +\usage{ +\method{*}{cf}(rw1, rw2) +} +\arguments{ +\item{rw1, rw2}{\code{rw_orig} objects.} +} +\description{ +Arithmetically multiply reweighting factors +} From 1cf72f3e9ed054d37663d7fc5ab5e661c105ece4 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 3 Oct 2019 12:30:16 +0200 Subject: [PATCH 27/85] removing averaging over stochastic samples --- R/cf.R | 56 +++++--------------------------------------------------- 1 file changed, 5 insertions(+), 51 deletions(-) diff --git a/R/cf.R b/R/cf.R index 2af02d42c..77371e8a4 100644 --- a/R/cf.R +++ b/R/cf.R @@ -421,14 +421,13 @@ gen.block.array <- function(n, R, l, endcorr=TRUE) { #' #' @param cf `cf` object. #' @param rw `rw` object. -#' @param nsamples Integer (Number of stochastic samples) #' @param boot.R Integer #' @param boot.l Integer #' @param seed Integer #' @param sim string #' @param endcorr boolean #' @export -bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, sim="geom", endcorr=TRUE) { +bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", endcorr=TRUE) { stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) @@ -437,20 +436,9 @@ bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, ##We should also check that the cf object and the rw object contains the same gauge configurations - stopifnot(rw$conf.index == cf$conf.index) - stopifnot( nrow(cf$cf) ==nsamples*length(rw$conf.index) ) - - ##Average over the samples - - tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ - new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(rw$conf.index)); - new2 <- apply(new,2,mean); - new2 - } - ) - cf$cf <- do.call(cbind,tmp) + stopifnot( nrow(cf$cf) == length(rw$conf.index) ) boot.l <- ceiling(boot.l) boot.R <- floor(boot.R) @@ -472,7 +460,7 @@ bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, ## we set the seed for reproducability and correlation old_seed <- swap_seed(seed) - ## now we bootstrap the correlators + ## now we bootstrap the correlation function cf.tsboot <- boot::tsboot(cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) @@ -507,8 +495,6 @@ bootstrap_rw.cf <- function(cf, rw, nsamples=1, boot.R=400, boot.l=2, seed=1234, rw.tsboot <- boot::tsboot(rw_cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) - - cf <- cfrw_boot(cf, boot.R = boot.R, boot.l = boot.l, @@ -600,7 +586,7 @@ jackknife.cf <- function(cf, boot.l = 1) { } -jackknife_rw.cf <- function(cf, rw, nsamples, boot.l = 1) { +jackknife_rw.cf <- function(cf, rw, boot.l = 1) { stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) stopifnot(inherits(rw, 'rw_meta')) @@ -610,17 +596,8 @@ jackknife_rw.cf <- function(cf, rw, nsamples, boot.l = 1) { ##We should also check that the cf object and the rw object contains the same gauge configurations - stopifnot( nrow(cf$cf) == nsamples*length(rw$conf.index) ) - - ##Average over the samples + stopifnot( nrow(cf$cf) == length(rw$conf.index) ) - tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ - new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(rw$conf.index)); - new2 <- apply(new,2,mean); - new2 - } - ) - cf$cf <- do.call(cbind,tmp) stopifnot(boot.l >= 1) boot.l <- ceiling(boot.l) @@ -827,29 +804,6 @@ avg.ls.cf <- function(cf, cols = c(2, 3)) { return (cf) } -## averages correlation functions over different random sources -avg.samples.cf <- function(cf, nsamples) { - - stopifnot(inherits(cf, 'cf_orig')) - - stopifnot(inherits(cf, 'cf_indexed')) - - stopifnot(length(cf$conf.index)*nsamples == nrow(cf$cf)) - - ##Average over the samples - - tmp <- lapply(X=1:ncol(cf$cf),FUN=function(rw_idx){ - new<- matrix(cf$cf[,rw_idx],nrow=nsamples,ncol=length(cf$conf.index)); - new2 <- apply(new,2,mean); - new2 - } - ) - cf$cf <- do.call(cbind,tmp) - - return (invisible(cf)) - -} - # "close-by-times" averaging replaces the value of the correlation function at t # with the "hypercubic" average with the values at the neighbouring time-slices # with weights 0.25, 0.5 and 0.25 From 17c3058953b18c61d0401a9b73ca8eca903260d1 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 3 Oct 2019 12:31:18 +0200 Subject: [PATCH 28/85] correcting the appropriate man file as well --- man/bootstrap_rw.cf.Rd | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/man/bootstrap_rw.cf.Rd b/man/bootstrap_rw.cf.Rd index 98be69ba1..744b6393e 100644 --- a/man/bootstrap_rw.cf.Rd +++ b/man/bootstrap_rw.cf.Rd @@ -4,16 +4,14 @@ \alias{bootstrap_rw.cf} \title{Computes the samples for reweighted correlation function} \usage{ -bootstrap_rw.cf(cf, rw, nsamples = 1, boot.R = 400, boot.l = 2, - seed = 1234, sim = "geom", endcorr = TRUE) +bootstrap_rw.cf(cf, rw, boot.R = 400, boot.l = 2, seed = 1234, + sim = "geom", endcorr = TRUE) } \arguments{ \item{cf}{\code{cf} object.} \item{rw}{\code{rw} object.} -\item{nsamples}{Integer (Number of stochastic samples)} - \item{boot.R}{Integer} \item{boot.l}{Integer} From 81db664028332e30a56e2bea3c8f1e89709f40c7 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 3 Oct 2019 12:57:10 +0200 Subject: [PATCH 29/85] correcting for the behaviour of is.na in if statement --- R/cf.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/cf.R b/R/cf.R index 77371e8a4..fe86f13b2 100644 --- a/R/cf.R +++ b/R/cf.R @@ -751,7 +751,7 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf1_temp <- cf1$icf if (reverse1 == TRUE){ apply(cf1_temp,2,rev) - if (!is.na(icf1_temp)){ + if (sum(is.na(icf1_temp))==0){ apply(icf1_temp,2,rev) } } @@ -759,7 +759,7 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf2_temp <- cf2$icf if (reverse2 == TRUE){ apply(cf2_temp,2,rev) - if (!is.na(icf2_temp)){ + if (sum(is.na(icf2_temp))==0){ apply(icf2_temp,2,rev) } } From 0dda8b266d9eba23d75ab136c167978e4a0d76f5 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Thu, 3 Oct 2019 14:41:00 +0200 Subject: [PATCH 30/85] correcting testing for icf --- R/cf.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/cf.R b/R/cf.R index fe86f13b2..844a18d3a 100644 --- a/R/cf.R +++ b/R/cf.R @@ -751,7 +751,7 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf1_temp <- cf1$icf if (reverse1 == TRUE){ apply(cf1_temp,2,rev) - if (sum(is.na(icf1_temp))==0){ + if ( !is.null(icf1_temp)){ apply(icf1_temp,2,rev) } } @@ -759,7 +759,7 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf2_temp <- cf2$icf if (reverse2 == TRUE){ apply(cf2_temp,2,rev) - if (sum(is.na(icf2_temp))==0){ + if ( !is.null(icf2_temp)){ apply(icf2_temp,2,rev) } } From 548eb99303fc8677ad8d35b70c1384bc42a0ff55 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 8 Oct 2019 10:08:24 +0200 Subject: [PATCH 31/85] Simplifying bootstrap_rwcf and jackknife_rwcf --- R/cf.R | 152 +++++---------------------------- man/cf.Rd | 2 +- man/cf_boot.Rd | 3 +- man/cf_meta.Rd | 3 +- man/cf_orig.Rd | 3 +- man/cf_principal_correlator.Rd | 3 +- man/cf_shifted.Rd | 4 +- man/cf_smeared.Rd | 4 +- man/cf_subtracted.Rd | 4 +- man/cf_weighted.Rd | 4 +- man/rw_meta.Rd | 2 +- 11 files changed, 35 insertions(+), 149 deletions(-) diff --git a/R/cf.R b/R/cf.R index 844a18d3a..b7a42b966 100644 --- a/R/cf.R +++ b/R/cf.R @@ -101,66 +101,6 @@ cf_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, resamplin } - -#' Bootstrapped reweighted CF mixin constructor -#' -#' @param .cf `cf` object to extend. -#' @param boot.R Integer, number of bootstrap samples used. -#' @param boot.l Integer, block length in the time-series bootstrap process. -#' @param seed Integer, random number generator seed used in bootstrap. -#' @param sim Character, `sim` argument of \link[boot]{tsboot}. -#' @param cf.tsboot List, result from the \link[boot]{tsboot} function. -#' @param rwcf.tsboot List, result from the \link[boot]{tsboot} function. -#' @param rw.tsboot List, result from the \link[boot]{tsboot} function. -#' @param resampling_method Character, either 'bootstrap' or 'jackknife' -#' -#' @details -#' -#' The following fields will also be made available: -#' -#' - `cf0`: Numeric vector, mean value of reweighted original measurements: /. -#' - `tsboot.se`: Numeric vector, standard deviation over bootstrap samples. -#' - `boot.samples`: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with `inherits(cf, 'cf_boot')`. -#' - `error_fn`: Function, takes a vector of samples and computes the error. In the bootstrap case this is just the `sd` function. Use this function instead of a `sd` in order to make the code compatible with jackknife samples. -#' -#' @family cf constructors -#' -#' @export -cfrw_boot <- function (.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.tsboot, rw.tsboot, resampling_method = 'bootstrap') { - stopifnot(inherits(.cf, 'cf')) - - .cf$boot.R <- boot.R - .cf$boot.l <- boot.l - .cf$seed <- seed - .cf$sim <- sim - .cf$cf.tsboot <- cf.tsboot - - if (resampling_method == 'bootstrap') { - .cf$error_fn <- sd - .cf$cov_fn <- cov - } - else if (resampling_method == 'jackknife') { - .cf$error_fn <- function (...) jackknife_error(..., boot.l = boot.l) - .cf$cov_fn <- jackknife_cov - } else { - stop('This resampling method is not implemented') - } - - .cf$resampling_method <- resampling_method - - .cf$cf0 <- rwcf.tsboot$t0/rw.tsboot$t0 - .cf$cf.tsboot$t <- rwcf.tsboot$t/rw.tsboot$t - .cf$tsboot.se <- apply(.cf$cf.tsboot$t/rw.tsboot$t, MARGIN = 2L, FUN = .cf$error_fn) - .cf$boot.samples <- TRUE - - class(.cf) <- append(class(.cf), 'cf_boot') - class(.cf) <- append(class(.cf), 'cfrw_boot') - - class(.cf) <- setdiff(class(.cf), 'cf_orig') - - return (.cf) -} - #' Estimates error from jackknife samples #' #' Currently this uses the mean over the jackknife samples in order to compute @@ -451,27 +391,6 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", rw_cf <- cf rw_cf$cf <- replicate(ncol(cf$cf), rw$rw) - ## save random number generator state - if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) - temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) - else - temp <- NULL - - ## we set the seed for reproducability and correlation - old_seed <- swap_seed(seed) - - ## now we bootstrap the correlation function - cf.tsboot <- boot::tsboot(cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, - R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) - - restore_seed(old_seed) - - ## save random number generator state - if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) - temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) - else - temp <- NULL - ## we set the seed for reproducability and correlation old_seed <- swap_seed(seed) @@ -482,12 +401,6 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", restore_seed(old_seed) - ## save random number generator state - if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) - temp <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) - else - temp <- NULL - ## we set the seed for reproducability and correlation old_seed <- swap_seed(seed) @@ -495,14 +408,21 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", rw.tsboot <- boot::tsboot(rw_cf$cf, statistic = function(x){ return(apply(x, MARGIN=2L, FUN=mean))}, R = boot.R, l=boot.l, sim=sim, endcorr=endcorr) - cf <- cfrw_boot(cf, + + rwcf.tsboot$t0<- rwcf.tsboot$t0/rw.tsboot$t0 + rwcf.tsboot$t <- rwcf.tsboot$t/rw.tsboot$t + + cf <- cf_boot(cf, boot.R = boot.R, boot.l = boot.l, seed = seed, sim = sim, - cf.tsboot = cf.tsboot, - rwcf.tsboot = rwcf.tsboot, - rw.tsboot=rw.tsboot) + cf.tsboot = rwcf.tsboot) + + class(cf) <- append(class(cf), 'cfrw_boot') + + class(cf) <- setdiff(class(cf), 'cf_orig') + restore_seed(old_seed) @@ -614,10 +534,11 @@ jackknife_rw.cf <- function(cf, rw, boot.l = 1) { N <- n-boot.l+1 - tmp <- apply(cf$cf, 2, mean) + numerator <- apply(cf$cf*rw_cf$cf, 2, mean) + denominator <- apply(rw_cf$cf, 2, mean) + t0 <- numerator/denominator t <- array(NA, dim = c(N, ncol(cf$cf))) - t0 <- tmp for (i in 1:N) { ## The measurements that we are going to leave out. ii <- c(i:(i+boot.l-1)) @@ -630,57 +551,26 @@ jackknife_rw.cf <- function(cf, rw, boot.l = 1) { } - cf.tsboot <- list(t = t, - t0 = t0, - R = N, - l = boot.l) - - - tmp <- apply(rw_cf$cf*cf$cf, 2, mean) - - t <- array(NA, dim = c(N, ncol(cf$cf))) - t0 <- tmp - for (i in 1:N) { - ## The measurements that we are going to leave out. - ii <- c(i:(i+boot.l-1)) - ## jackknife replications of the mean - t[i, ] <- apply(cf$cf[-ii, ]* rw_cf$cf[ ii, ], 2L, mean) - } - + cf <- invalidate.samples.cf(cf) - rwcf.tsboot <- list(t = t, + cf.tsboot <- list(t = t, t0 = t0, R = N, l = boot.l) - tmp <- apply(rw_cf$cf*cf$cf, 2, mean) - - t <- array(NA, dim = c(N, ncol(cf$cf))) - t0 <- tmp - for (i in 1:N) { - ## The measurements that we are going to leave out. - ii <- c(i:(i+boot.l-1)) - ## jackknife replications of the mean - t[i, ] <- apply( rw_cf$cf[ ii, ], 2L, mean) - } - - - rwcf.tsboot <- list(t = t, - t0 = t0, - R = N, - l = boot.l) - cf <- invalidate.samples.cf(cf) - cf <- cfrw_boot(cf, + cf <- cf_boot(cf, boot.R = cf.tsboot$R, boot.l = cf.tsboot$l, seed = 0, sim = 'geom', cf.tsboot = cf.tsboot, - rwcf.tsboot = rwcf.tsboot, - rw.tsboot = rw.tsboot, resampling_method = 'jackknife') + class(cf) <- append(class(cf), 'cfrw_boot') + + class(cf) <- setdiff(class(cf), 'cf_orig') + return (invisible(cf)) } # Gamma method analysis on all time-slices in a 'cf' object diff --git a/man/cf.Rd b/man/cf.Rd index 81f816423..9d270ef95 100644 --- a/man/cf.Rd +++ b/man/cf.Rd @@ -28,6 +28,6 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{rw_meta}} + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_boot.Rd b/man/cf_boot.Rd index bc29f0f07..bf7c9acc9 100644 --- a/man/cf_boot.Rd +++ b/man/cf_boot.Rd @@ -40,7 +40,6 @@ Other cf constructors: \code{\link{cf_meta}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{cf}}, - \code{\link{rw_meta}} + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_meta.Rd b/man/cf_meta.Rd index 9ce6ff3e4..931af0e70 100644 --- a/man/cf_meta.Rd +++ b/man/cf_meta.Rd @@ -27,7 +27,6 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{cf}}, - \code{\link{rw_meta}} + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_orig.Rd b/man/cf_orig.Rd index cbd6b5d87..b54f5aeb9 100644 --- a/man/cf_orig.Rd +++ b/man/cf_orig.Rd @@ -22,7 +22,6 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{cf}}, - \code{\link{rw_meta}} + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_principal_correlator.Rd b/man/cf_principal_correlator.Rd index ed430770b..aafb14faf 100644 --- a/man/cf_principal_correlator.Rd +++ b/man/cf_principal_correlator.Rd @@ -23,7 +23,6 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{cf}}, - \code{\link{rw_meta}} + \code{\link{cf}}, \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_shifted.Rd b/man/cf_shifted.Rd index 4afa6819a..6ffe5f51b 100644 --- a/man/cf_shifted.Rd +++ b/man/cf_shifted.Rd @@ -27,7 +27,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, - \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, - \code{\link{cf}}, \code{\link{rw_meta}} + \code{\link{cf_weighted}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_smeared.Rd b/man/cf_smeared.Rd index 1c89e63f2..c44586342 100644 --- a/man/cf_smeared.Rd +++ b/man/cf_smeared.Rd @@ -31,7 +31,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_subtracted}}, - \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, - \code{\link{cf}}, \code{\link{rw_meta}} + \code{\link{cf_weighted}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_subtracted.Rd b/man/cf_subtracted.Rd index b45261462..767e7adfa 100644 --- a/man/cf_subtracted.Rd +++ b/man/cf_subtracted.Rd @@ -21,7 +21,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_weighted}}, \code{\link{cfrw_boot}}, - \code{\link{cf}}, \code{\link{rw_meta}} + \code{\link{cf_weighted}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/cf_weighted.Rd b/man/cf_weighted.Rd index 83dcaf16d..f97106ff5 100644 --- a/man/cf_weighted.Rd +++ b/man/cf_weighted.Rd @@ -31,7 +31,7 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_meta}}, \code{\link{cf_orig}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_subtracted}}, \code{\link{cfrw_boot}}, - \code{\link{cf}}, \code{\link{rw_meta}} + \code{\link{cf_subtracted}}, \code{\link{cf}}, + \code{\link{rw_meta}} } \concept{cf constructors} diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd index cf0eaeadf..b9728a547 100644 --- a/man/rw_meta.Rd +++ b/man/rw_meta.Rd @@ -20,6 +20,6 @@ Other cf constructors: \code{\link{cf_boot}}, \code{\link{cf_principal_correlator}}, \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cfrw_boot}}, \code{\link{cf}} + \code{\link{cf}} } \concept{cf constructors} From 0fb2b4246db431f59e56e3d9203d885c1ed4e3ce Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 8 Nov 2019 08:40:53 +0100 Subject: [PATCH 32/85] Using functions from branch icf_support --- R/cf.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/R/cf.R b/R/cf.R index b7a42b966..321664661 100644 --- a/R/cf.R +++ b/R/cf.R @@ -641,7 +641,8 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf1_temp <- cf1$icf if (reverse1 == TRUE){ apply(cf1_temp,2,rev) - if ( !is.null(icf1_temp)){ + if ( has_icf(cf1)){ + str(cf1$icf) apply(icf1_temp,2,rev) } } @@ -649,7 +650,7 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { icf2_temp <- cf2$icf if (reverse2 == TRUE){ apply(cf2_temp,2,rev) - if ( !is.null(icf2_temp)){ + if ( has_icf(cf2)){ apply(icf2_temp,2,rev) } } From f17f73a8e6f2211dd91da9a3fd13186deac40b5a Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 8 Nov 2019 08:53:55 +0100 Subject: [PATCH 33/85] input parameter types for jackknife_rw.cf --- R/cf.R | 7 ++++++- man/jackknife_rw.cf.Rd | 18 ++++++++++++++++++ 2 files changed, 24 insertions(+), 1 deletion(-) create mode 100644 man/jackknife_rw.cf.Rd diff --git a/R/cf.R b/R/cf.R index 321664661..217427b7f 100644 --- a/R/cf.R +++ b/R/cf.R @@ -505,7 +505,12 @@ jackknife.cf <- function(cf, boot.l = 1) { } - +#' Computes the jackknife samples for reweighted correlation function +#' +#' @param cf `cf` object. +#' @param rw `rw` object. +#' @param boot.l Integer +#' @export jackknife_rw.cf <- function(cf, rw, boot.l = 1) { stopifnot(inherits(cf, 'cf_orig')) stopifnot(inherits(rw, 'rw_orig')) diff --git a/man/jackknife_rw.cf.Rd b/man/jackknife_rw.cf.Rd new file mode 100644 index 000000000..652a5c9ad --- /dev/null +++ b/man/jackknife_rw.cf.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/cf.R +\name{jackknife_rw.cf} +\alias{jackknife_rw.cf} +\title{Computes the jackknife samples for reweighted correlation function} +\usage{ +jackknife_rw.cf(cf, rw, boot.l = 1) +} +\arguments{ +\item{cf}{\code{cf} object.} + +\item{rw}{\code{rw} object.} + +\item{boot.l}{Integer} +} +\description{ +Computes the jackknife samples for reweighted correlation function +} From 2cf88141f4c29a9090214b76ce17721fef700a06 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 8 Nov 2019 09:29:49 +0100 Subject: [PATCH 34/85] Adding more clarifications and correcting typo --- R/rw.R | 21 ++++++++++++--------- man/addStat.rw.Rd | 10 +++++++++- man/multiply.rw.Rd | 5 +++-- man/rw.Rd | 4 ++-- 4 files changed, 26 insertions(+), 14 deletions(-) diff --git a/R/rw.R b/R/rw.R index c1e466e8d..dcab0614a 100644 --- a/R/rw.R +++ b/R/rw.R @@ -4,8 +4,8 @@ #' of class `rw`. This class is particularly designed to store reweighting #' factors for each gauge configuration, that can be applied on #' correlation functions emerging in statistical and quantum field theory -#' simulations. Arithmetic operations are defined for this class in -#' several ways, as well as for increasing statistics and \link{is.rw}. +#' simulations. Multiplication operation is defined for this class, +#' as well as for increasing statistics and \link{is.rw}. #' #' @details #'#' @@ -85,9 +85,10 @@ is_empty.rw <- function (.rw) { #' Arithmetically multiplies two reweighting factors #' -#' @param rw1,rw2 `rw_orig` object. +#' @param rw1,rw2 `rw_orig` objects to be muplitplied #' @param nf1,nf2 Integer. Factors that determines the number of flavours you -#' have for reweighting factor 1 and 2 +#' have for reweighting factor 1 and 2, the default value is 1, you +#' usually have different reweighting factor for each flavour #' #' @return #' The value is @@ -123,7 +124,7 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { #' @param rw1,rw2 `rw_orig` objects. #' #' @export -'*.cf' <- function (rw1, rw2) { +'*.rw' <- function (rw1, rw2) { multiply.rw(cf1, cf2, nf1 = 1, nf2 = 1) } @@ -166,12 +167,18 @@ plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ... } #' Combine statistics for reweighting factor +#' Use this when combining different replicas #' #' @param rw1 `rw` object #' @param rw2 `rw` object #' @param reverse1 boolean object #' @param reverse1 boolean object #' +#' @examples +#' We have replicum a, b and we want to join them +#' Note that in this case replicum b has to be reversed +#' +#' addStat.rw(rewfactor_replicum_B,rewfactor_replicum_A,TRUE,FALSE) #' @export addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) @@ -194,10 +201,6 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw_norm')) stopifnot(inherits(rw2, 'rw_norm')) - - #stopifnot(identical(rw1$conf.index == rw2$conf.index)) - #stopifnot(dim(rw1$rw)[2] == dim(rw2$rw)[2]) - rw <- rw1 if (reverse1 == TRUE){ diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd index bd43d8e5f..f1c041324 100644 --- a/man/addStat.rw.Rd +++ b/man/addStat.rw.Rd @@ -2,7 +2,8 @@ % Please edit documentation in R/rw.R \name{addStat.rw} \alias{addStat.rw} -\title{Combine statistics for reweighting factor} +\title{Combine statistics for reweighting factor +Use this when combining different replicas} \usage{ addStat.rw(rw1, rw2, reverse1 = FALSE, reverse2 = FALSE) } @@ -17,4 +18,11 @@ addStat.rw(rw1, rw2, reverse1 = FALSE, reverse2 = FALSE) } \description{ Combine statistics for reweighting factor +Use this when combining different replicas +} +\examples{ +We have replicum a, b and we want to join them +Note that in this case replicum b has to be reversed + +addStat.rw(rewfactor_replicum_B,rewfactor_replicum_A,TRUE,FALSE) } diff --git a/man/multiply.rw.Rd b/man/multiply.rw.Rd index 479010965..94e8bc5d0 100644 --- a/man/multiply.rw.Rd +++ b/man/multiply.rw.Rd @@ -7,10 +7,11 @@ multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) } \arguments{ -\item{rw1, rw2}{\code{rw_orig} object.} +\item{rw1, rw2}{\code{rw_orig} objects to be muplitplied} \item{nf1, nf2}{Integer. Factors that determines the number of flavours you -have for reweighting factor 1 and 2} +have for reweighting factor 1 and 2, the default value is 1, you +usually have different reweighting factor for each flavour} } \value{ The value is diff --git a/man/rw.Rd b/man/rw.Rd index 749fe9353..7f08e0a09 100644 --- a/man/rw.Rd +++ b/man/rw.Rd @@ -11,8 +11,8 @@ This function \code{rw()} creates containers for reweighting factors of class \code{rw}. This class is particularly designed to store reweighting factors for each gauge configuration, that can be applied on correlation functions emerging in statistical and quantum field theory -simulations. Arithmetic operations are defined for this class in -several ways, as well as for increasing statistics and \link{is.rw}. +simulations. Multiplication operation is defined for this class, +as well as for increasing statistics and \link{is.rw}. } \details{ #' From 74b3f53dd6acd858e18952e9eacdf3a91c3b0d38 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 16:44:29 +0100 Subject: [PATCH 35/85] try to upload modifications --- R/rw.R | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/R/rw.R b/R/rw.R index dcab0614a..c0a9ca039 100644 --- a/R/rw.R +++ b/R/rw.R @@ -72,11 +72,9 @@ rw_unit <- function (.rw = rw(), conf.index) { #' @param .rw `rw` object. #' #' @examples -#' # The empty cf object must be empty: -#' is_empty.cf(cf()) +#' # The empty rw object must be empty: +#' is_empty.rw(rw()) #' -#' # The sample cf must not be empty: -#' is_empty.cf(samplecf) is_empty.rw <- function (.rw) { setequal(class(.rw), class(rw())) && is.null(names(.rw)) @@ -86,9 +84,14 @@ is_empty.rw <- function (.rw) { #' Arithmetically multiplies two reweighting factors #' #' @param rw1,rw2 `rw_orig` objects to be muplitplied -#' @param nf1,nf2 Integer. Factors that determines the number of flavours you -#' have for reweighting factor 1 and 2, the default value is 1, you -#' usually have different reweighting factor for each flavour +#' @param nf1,nf2 Integer. Factors that determines the number of flavours we +#' have for reweighting factor 1 and 2, the default value is 1, because +#' usually we compute the reweighting factors for Q: the product of +#' up and down or strange and charm determinant, there are no additional +#' terms in the sea determinant that have to be reweighted with the same +#' rw factor. In case we compute the rw1 factor only for the up quark, we +#' for example, we have to set nf1=2 to obtain the rw factor +#' for the light determinant. #' #' @return #' The value is From 67ad0c154ebf8b2391f05c35ad295a6ac8ab0e79 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 16:49:37 +0100 Subject: [PATCH 36/85] Consistent assignments --- R/rw.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/rw.R b/R/rw.R index c0a9ca039..84664b177 100644 --- a/R/rw.R +++ b/R/rw.R @@ -29,7 +29,7 @@ rw <- function () { rw_meta <- function (.rw = rw(), conf.index = NA) { stopifnot(inherits(.rw, 'rw')) - .rw$conf.index = conf.index + .rw$conf.index <- conf.index class(.rw) <- append(class(.rw), 'rw_meta') return (.rw) @@ -57,7 +57,7 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { rw_unit <- function (.rw = rw(), conf.index) { stopifnot(inherits(.rw, 'rw')) - .rw$conf.index=conf.index + .rw$conf.index <- conf.index .rw$rw <- rep(1.0,length(conf.index)) .rw$max_value <- 1.0 From 25e64dce5c875d1a22ad588f0e60bc3ab8005777 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 16:53:38 +0100 Subject: [PATCH 37/85] mixin reintroducted --- R/cf.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index dc85c264d..58f9c03b4 100644 --- a/R/cf.R +++ b/R/cf.R @@ -48,7 +48,7 @@ cf_meta <- function (.cf = cf(), nrObs = 1, Time = NA, nrStypes = 1, symmetrised } -#' Bootstrapped CF constructor +#' Bootstrapped CF mixin constructor #' #' @param .cf `cf` object to extend. #' @param boot.R Integer, number of bootstrap samples used. From 284c9dd1960a2e14a8017cf927fb83f1ebf59bc5 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 17:11:57 +0100 Subject: [PATCH 38/85] Example for addStat.cf documentation --- R/cf.R | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/R/cf.R b/R/cf.R index 58f9c03b4..2ec62518e 100644 --- a/R/cf.R +++ b/R/cf.R @@ -656,6 +656,25 @@ addConfIndex2cf <- function(cf, conf.index) { return(cf) } +#' Combine correlation function from different replicas +#' +#' @param cf1 `cf` object: correlation function for replicum A +#' @param cf2 `cf` object: correlation function for replicum B +#' @param reverse1 `boolean` After the bifurcation point one of +#' the replicas (chain of correlation +#' functions in simulation time) has +#' to be reversed. +#' @param reverse2 `boolean` +#' +#' @examples +#' Suppose we have correlation functions in replicum A from 0 to 500 +#' in steps of 4 and in replicum B from 4 to 500 in steps of 4. +#' To combined the two replicas we have to use +#' +#' addstat.cf(cf_replicumB, cf_replicumA, TRUE, FALSE) +#' which means +#' combined=(cf500 from B, cf496 from B,...,cf004 from B, cf000 from A, .. +#' cf500 from A) addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(cf1, 'cf')) stopifnot(inherits(cf2, 'cf')) From dd99b7c10f7e1571456951e6a8a22e7a23fcb41b Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 17:18:09 +0100 Subject: [PATCH 39/85] the same explanation for combining replicas for reweighting factors --- R/cf.R | 1 + R/rw.R | 30 ++++++++++++++++++------------ 2 files changed, 19 insertions(+), 12 deletions(-) diff --git a/R/cf.R b/R/cf.R index 2ec62518e..848e627b8 100644 --- a/R/cf.R +++ b/R/cf.R @@ -675,6 +675,7 @@ addConfIndex2cf <- function(cf, conf.index) { #' which means #' combined=(cf500 from B, cf496 from B,...,cf004 from B, cf000 from A, .. #' cf500 from A) +#' @export addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(cf1, 'cf')) stopifnot(inherits(cf2, 'cf')) diff --git a/R/rw.R b/R/rw.R index 84664b177..4a48f8914 100644 --- a/R/rw.R +++ b/R/rw.R @@ -169,19 +169,25 @@ plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ... return(invisible(df)) } -#' Combine statistics for reweighting factor -#' Use this when combining different replicas +#' Combine reweighting factors from different replicas +#' +#' @param rw1 `rw` object: reweighting factor for replicum A +#' @param rw2 `cf` object: reweighting factor for replicum B +#' @param reverse1 `boolean` After the bifurcation point one of +#' the replicas (chain of reweighting +#' factors in simulation time) has +#' to be reversed. +#' @param reverse2 `boolean` #' -#' @param rw1 `rw` object -#' @param rw2 `rw` object -#' @param reverse1 boolean object -#' @param reverse1 boolean object -#' -#' @examples -#' We have replicum a, b and we want to join them -#' Note that in this case replicum b has to be reversed -#' -#' addStat.rw(rewfactor_replicum_B,rewfactor_replicum_A,TRUE,FALSE) +#' @examples +#' Suppose we have reweighting factors in replicum A from 0 to 500 +#' in steps of 4 and in replicum B from 4 to 500 in steps of 4. +#' To combined the two replicas we have to use +#' +#' addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) +#' which means +#' combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. +#' rw500 from A) #' @export addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) From 184f86e65a4d216473e5e855bf9696be49392a79 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 17:23:28 +0100 Subject: [PATCH 40/85] including dplyr in DESCRIPTION --- DESCRIPTION | 1 + 1 file changed, 1 insertion(+) diff --git a/DESCRIPTION b/DESCRIPTION index 3d828c098..365dd222d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -15,6 +15,7 @@ Maintainer: Carsten Urbach SystemRequirements: Gnu Scientific Library version >= 1.8 Description: Toolkit to extract hadronic quantities from Lattice QCD simulations. It contains functionality for IO, plotting, bootstrap and jackknife resampling, fitting, GEVP solving, error and autocorrelation estimation as well as other areas. Imports: + dplyr, abind, boot, R6, From bd71437ed783de84caefd9a9f66d3dbfd1584ff8 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 17:45:07 +0100 Subject: [PATCH 41/85] for names of columns in reweighting factor made some explanations --- R/readutils.R | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/R/readutils.R b/R/readutils.R index 71edb6191..315dbb1bf 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -353,6 +353,13 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) + names(tmp)[1] <- "monomialid" + names(tmp)[2] <- "stochastic_index" + names(tmp)[3] <- "kappa_target" + names(tmp)[4] <- "kappa_original" + names(tmp)[5] <- "light_quark_mass_target" + names(tmp)[6] <- "light_quark_mass_original" + names(tmp)[7] <- "reweightingfactor" # Select the reweighting factor for a particular monomial From dbcbe71ec44cd16ae750923b50613ecf2129642c Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 18:02:10 +0100 Subject: [PATCH 42/85] remove default argument for conf.index --- R/rw.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index 4a48f8914..19a6e8c0c 100644 --- a/R/rw.R +++ b/R/rw.R @@ -26,7 +26,7 @@ rw <- function () { #' @family cf constructors #' #' @export -rw_meta <- function (.rw = rw(), conf.index = NA) { +rw_meta <- function (.rw = rw(), conf.index ) { stopifnot(inherits(.rw, 'rw')) .rw$conf.index <- conf.index From 567e108803acb95e1432b176795572e69d984f0c Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 18:10:47 +0100 Subject: [PATCH 43/85] Rd files added --- man/addStat.rw.Rd | 27 ++++++++++++++++----------- man/cf_boot.Rd | 4 ++-- man/is_empty.rw.Rd | 6 ++---- man/multiply.rw.Rd | 11 ++++++++--- man/rw_meta.Rd | 2 +- 5 files changed, 29 insertions(+), 21 deletions(-) diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd index f1c041324..02de74aca 100644 --- a/man/addStat.rw.Rd +++ b/man/addStat.rw.Rd @@ -2,27 +2,32 @@ % Please edit documentation in R/rw.R \name{addStat.rw} \alias{addStat.rw} -\title{Combine statistics for reweighting factor -Use this when combining different replicas} +\title{Combine reweighting factors from different replicas} \usage{ addStat.rw(rw1, rw2, reverse1 = FALSE, reverse2 = FALSE) } \arguments{ -\item{rw1}{\code{rw} object} +\item{rw1}{\code{rw} object: reweighting factor for replicum A} -\item{rw2}{\code{rw} object} +\item{rw2}{\code{cf} object: reweighting factor for replicum B} -\item{reverse1}{boolean object} +\item{reverse1}{\code{boolean} After the bifurcation point one of +the replicas (chain of reweighting +factors in simulation time) has +to be reversed.} -\item{reverse1}{boolean object} +\item{reverse2}{\code{boolean}} } \description{ -Combine statistics for reweighting factor -Use this when combining different replicas +Combine reweighting factors from different replicas } \examples{ -We have replicum a, b and we want to join them -Note that in this case replicum b has to be reversed +Suppose we have reweighting factors in replicum A from 0 to 500 +in steps of 4 and in replicum B from 4 to 500 in steps of 4. +To combined the two replicas we have to use -addStat.rw(rewfactor_replicum_B,rewfactor_replicum_A,TRUE,FALSE) +addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) +which means +combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. +rw500 from A) } diff --git a/man/cf_boot.Rd b/man/cf_boot.Rd index f2c19e36f..2389cd946 100644 --- a/man/cf_boot.Rd +++ b/man/cf_boot.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/cf.R \name{cf_boot} \alias{cf_boot} -\title{Bootstrapped CF constructor} +\title{Bootstrapped CF mixin constructor} \usage{ cf_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, icf.tsboot = NULL, resampling_method) @@ -25,7 +25,7 @@ cf_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, \item{resampling_method}{Character, either 'bootstrap' or 'jackknife'} } \description{ -Bootstrapped CF constructor +Bootstrapped CF mixin constructor } \details{ The following fields will also be made available: diff --git a/man/is_empty.rw.Rd b/man/is_empty.rw.Rd index 02e93dba8..a042e80cb 100644 --- a/man/is_empty.rw.Rd +++ b/man/is_empty.rw.Rd @@ -13,9 +13,7 @@ is_empty.rw(.rw) Checks whether the cf object contains no data } \examples{ -# The empty cf object must be empty: -is_empty.cf(cf()) +# The empty rw object must be empty: +is_empty.rw(rw()) -# The sample cf must not be empty: -is_empty.cf(samplecf) } diff --git a/man/multiply.rw.Rd b/man/multiply.rw.Rd index 94e8bc5d0..738d73c4f 100644 --- a/man/multiply.rw.Rd +++ b/man/multiply.rw.Rd @@ -9,9 +9,14 @@ multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) \arguments{ \item{rw1, rw2}{\code{rw_orig} objects to be muplitplied} -\item{nf1, nf2}{Integer. Factors that determines the number of flavours you -have for reweighting factor 1 and 2, the default value is 1, you -usually have different reweighting factor for each flavour} +\item{nf1, nf2}{Integer. Factors that determines the number of flavours we +have for reweighting factor 1 and 2, the default value is 1, because +usually we compute the reweighting factors for Q: the product of +up and down or strange and charm determinant, there are no additional +terms in the sea determinant that have to be reweighted with the same +rw factor. In case we compute the rw1 factor only for the up quark, we +for example, we have to set nf1=2 to obtain the rw factor +for the light determinant.} } \value{ The value is diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd index b9728a547..9055cf9c3 100644 --- a/man/rw_meta.Rd +++ b/man/rw_meta.Rd @@ -4,7 +4,7 @@ \alias{rw_meta} \title{rw metadata mixin constructor} \usage{ -rw_meta(.rw = rw(), conf.index = NA) +rw_meta(.rw = rw(), conf.index) } \arguments{ \item{.rw}{\code{rw} object to extend.} From d60a89e1b788474e071ac716aba72403863441ab Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 18:28:40 +0100 Subject: [PATCH 44/85] adding red colors for plotting negativ values --- R/rw.R | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/R/rw.R b/R/rw.R index 19a6e8c0c..09b96a596 100644 --- a/R/rw.R +++ b/R/rw.R @@ -145,17 +145,20 @@ is.rw <- function (x) { #' Plot a reweighting factor function #' #' @param x `rw` object -#' @param neg.vec Numeric vector of length `rw$rw0`. This allows switching the -#' sign for certain gauge configurations such that displaying in -#' log-scale is sensible. #' @param rep See \code{\link{plotwitherror}}. #' #' @inheritParams plotwitherror #' #' @export -plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ...) { +plot.rw <- function(x, rep = FALSE, ...) { rw <- x stopifnot(inherits(rw, 'rw')) + negs <- which(rw$rw < 0) + neg.vec <- rep(1,times=length(rw$rw)) + neg.vec[negs] <- -1 + + colneg <- rep("black",times=length(rw$rw)) + colneg[negs] <- "red" val <- rw$rw/mean(rw$rw) err <- rep(x=0,length(rw$rw)) @@ -164,7 +167,7 @@ plot.rw <- function(x, neg.vec = rep(1, times = length(rw$rw)), rep = FALSE, ... CF = val, Err = err) - plotwitherror(x = c(1:length(val)), y = neg.vec * df$CF, dy = df$Err, rep = rep, ...) + plotwitherror(x = c(1:length(val)), y = neg.vec * df$CF, dy = df$Err, col=colneg, rep = rep, ...) return(invisible(df)) } From f93326d41cade523bb737ffa36feb0448f681a73 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 12 Nov 2019 18:29:47 +0100 Subject: [PATCH 45/85] uploading Rd file --- man/plot.rw.Rd | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/man/plot.rw.Rd b/man/plot.rw.Rd index 6b9b279f0..3a07701e8 100644 --- a/man/plot.rw.Rd +++ b/man/plot.rw.Rd @@ -4,16 +4,11 @@ \alias{plot.rw} \title{Plot a reweighting factor function} \usage{ -\method{plot}{rw}(x, neg.vec = rep(1, times = length(rw$rw)), - rep = FALSE, ...) +\method{plot}{rw}(x, rep = FALSE, ...) } \arguments{ \item{x}{\code{rw} object} -\item{neg.vec}{Numeric vector of length \code{rw$rw0}. This allows switching the -sign for certain gauge configurations such that displaying in -log-scale is sensible.} - \item{rep}{See \code{\link{plotwitherror}}.} } \description{ From b3d9073495581f49052f7f63533eed0458e61e13 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Wed, 13 Nov 2019 08:10:44 +0100 Subject: [PATCH 46/85] correcting names of columns in tmp --- R/readutils.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 315dbb1bf..b328b240f 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -366,17 +366,17 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id dplyr_avail <- requireNamespace("dplyr") stopifnot(dplyr_avail) - tmp <- dplyr::filter(tmp,V1==monomial_id) + tmp <- dplyr::filter(tmp,monomialid==monomial_id) # Number of reweighted determinants for each gauge configuration - n_rew_factors <- length(tmp$V7)/(nsamples*length(gauge_conf_list)) + n_rew_factors <- length(tmp$reweightingfactor)/(nsamples*length(gauge_conf_list)) stopifnot(n_rew_factors == 1) # Exponentianing and Averaging over the stochastic samples - tmp2 <- matrix(tmp$V7,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) + tmp2 <- matrix(tmp$reweightingfactor,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) tmp3 <- apply(exp(-tmp2),2,mean) # Normalize the largest reweighting factor to be one and storing this factor From 7e0d32d2502a9b977ab6cf4748152db9c60e9390 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 10:51:26 +0100 Subject: [PATCH 47/85] trying to fix conflicts --- DESCRIPTION | 6 +- NAMESPACE | 7 +- R/analysis_online.R | 2 +- R/bootstrap.nlsfit.R | 103 +++++++++++------- R/cf.R | 23 +--- R/cyprus_readutils.R | 6 +- R/gevp.R | 4 +- R/hankel.R | 2 +- R/looptools.R | 5 +- R/new_matrixfit.R | 40 +++++-- R/removeTemporal.cf.R | 87 +++++++++++++-- R/tex-utils.R | 6 +- data/correlatormatrix.RData | Bin 414741 -> 414732 bytes data/samplecf.RData | Bin 189178 -> 189170 bytes man/NParticleModel.Rd | 6 - man/analysis_online.Rd | 25 ++--- man/bootstrap.hankel.Rd | 9 +- man/bootstrap.nlsfit.Rd | 38 ++++--- man/cf.Rd | 15 ++- man/cf_boot.Rd | 19 ++-- man/cf_orig.Rd | 15 ++- man/cf_principal_correlator.Rd | 14 ++- man/cf_shifted.Rd | 15 ++- man/cf_weighted.Rd | 15 ++- man/construct_onlinemeas_rundir.Rd | 5 +- man/disc_3pt.Rd | 4 +- man/escapeLatexSpecials.Rd | 9 ++ man/extract_mass.Rd | 21 ++++ man/extract_mass.effectivemassfit.Rd | 19 ++++ man/extract_mass.matrixfit.Rd | 19 ++++ man/foldr1.Rd | 2 +- man/gevp.hankel.Rd | 8 +- man/new_matrixfit.Rd | 49 +++++++++ man/old_removeTemporal.cf.Rd | 5 +- man/parametric.bootstrap.Rd | 17 +-- man/parametric.bootstrap.cov.Rd | 17 +-- man/parametric.nlsfit.Rd | 26 +++-- man/parametric.nlsfit.cov.Rd | 26 +++-- man/plot.bootstrapfit.Rd | 23 ++-- man/plot.cf.Rd | 3 +- man/plot_timeseries.Rd | 7 +- man/print.bootstrapfit.Rd | 17 +-- man/raw_cf.Rd | 5 +- man/raw_cf_data.Rd | 5 +- man/raw_cf_meta.Rd | 5 +- man/removeTemporal.cf.Rd | 34 ++++++ man/simple.nlsfit.Rd | 32 +++--- man/summary.bootstrapfit.Rd | 20 ++-- man/weight.cf.Rd | 31 ++++++ man/weight_shift_reweight.cf.Rd | 25 +++++ src/RcppExports.cpp | 10 +- tests/testthat/test_removeTemporal.R | 9 +- .../jackknife_cov_and_missing_values.Rmd | 4 +- 53 files changed, 637 insertions(+), 282 deletions(-) create mode 100644 man/extract_mass.Rd create mode 100644 man/extract_mass.effectivemassfit.Rd create mode 100644 man/extract_mass.matrixfit.Rd create mode 100644 man/new_matrixfit.Rd create mode 100644 man/removeTemporal.cf.Rd create mode 100644 man/weight.cf.Rd create mode 100644 man/weight_shift_reweight.cf.Rd diff --git a/DESCRIPTION b/DESCRIPTION index 248006929..9ae1706bf 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: hadron -Version: 2.4.0 +Version: 2.5.0 Date: 2019-01-10 Title: package to extract hadronic quantities Authors@R: c(person("Carsten", "Urbach", email = "urbach@hiskp.uni-bonn.de", @@ -38,8 +38,8 @@ License: GPL-3 URL: https://github.com/urbach/hadron BugReports: https://github.com/urbach/hadron/issues LazyData: true -Roxygen: list(markdown = TRUE) -RoxygenNote: 6.1.1 +Roxygen: list(markdown = TRUE, old_usage = TRUE, r6 = FALSE) +RoxygenNote: 7.0.0 Encoding: UTF-8 Remotes: bioc::release/rhdf5 VignetteBuilder: knitr diff --git a/NAMESPACE b/NAMESPACE index c66608375..fc136cf46 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -22,7 +22,7 @@ exportPattern("^disc_*") export(gevp, gevp2cf, gevp2amplitude) export("overview_plot_raw_cf") export("cyprus_read_loops") -export(g1, onlinemeas, alphas, cdh, cdhnew, matrixfit, subtract.excitedstates, invertCovMatrix, getorderedfilelist, averx, LuescherZeta, computeacf, computeDisc, CExp, pcac, pion, zetazp, proton, getorderedconfignumbers, fit.effectivemass, invcosh, tex.catwitherror, fit.cosh) +export(g1, onlinemeas, alphas, cdh, cdhnew, new_matrixfit, matrixfit, subtract.excitedstates, invertCovMatrix, getorderedfilelist, averx, LuescherZeta, computeacf, computeDisc, CExp, pcac, pion, zetazp, proton, getorderedconfignumbers, fit.effectivemass, invcosh, tex.catwitherror, fit.cosh) export(gm,gm_mu) export(foldr1) export(escapeLatexSpecials) @@ -54,6 +54,9 @@ importFrom("utils", "count.fields", "read.table", "setTxtProgressBar", importFrom("grDevices", "dev.new") importFrom("Rcpp", "evalCpp") +# to avoid complaints about unused imports... +importFrom("R6", "R6Class") + S3method(`*`, raw_cf) S3method(`+`, cf) S3method(`+`, raw_cf) @@ -63,6 +66,8 @@ S3method(`/`, cf) S3method(`/`, raw_cf) S3method(c, cf) S3method(c, raw_cf) +S3method(extract_mass, matrixfit) +S3method(extract_mass, effectivemassfit) S3method(plot, averx) S3method(plot, b1fit) S3method(plot, bootstrapfit) diff --git a/R/analysis_online.R b/R/analysis_online.R index aa96736cf..d33b479d6 100644 --- a/R/analysis_online.R +++ b/R/analysis_online.R @@ -496,7 +496,7 @@ analysis_online <- function(L, T, t1, t2, beta, kappa, mul, } if( !missing("evals_id") ) { plotcounter <- plotcounter+1 - ev_pdf_filename <- sprintf("%02d_evals_%02d_%s", plotcounter, evals, filelabel ) + ev_pdf_filename <- sprintf("%02d_evals_%02d_%s", plotcounter, evals_id, filelabel ) ev_filename <- sprintf("%s/monomial-%02d.data", rundir, evals_id ) pdf_filenames <- append_pdf_filename(basename = ev_filename, pdf_filenames = pdf_filenames) diff --git a/R/bootstrap.nlsfit.R b/R/bootstrap.nlsfit.R index 0519c79df..98210f363 100644 --- a/R/bootstrap.nlsfit.R +++ b/R/bootstrap.nlsfit.R @@ -103,7 +103,8 @@ parametric.bootstrap.cov <- function (boot.R, x, cov, seed) { #' #' fit.result <- parametric.nlsfit(fn, c(1, 1), boot.R, value, dvalue, x, dx) #' summary(fit.result) -parametric.nlsfit <- function (fn, par.guess, boot.R, y, dy, x, dx, ..., bootstrap=TRUE) { +parametric.nlsfit <- function (fn, par.guess, boot.R, y, dy, x, dx, + ..., bootstrap=TRUE, na.rm = FALSE) { stopifnot(length(x) == length(y)) stopifnot(missing(dx) || length(dx) == length(x)) stopifnot(missing(dy) || length(dy) == length(y)) @@ -121,12 +122,12 @@ parametric.nlsfit <- function (fn, par.guess, boot.R, y, dy, x, dx, ..., bootstr if (bootstrap) { stopifnot(!missing(boot.R)) bsamples <- parametric.bootstrap(boot.R, values, errors) - bootstrap.nlsfit(fn, par.guess, y, x, bsamples, ..., dx = dx, dy = dy) + bootstrap.nlsfit(fn, par.guess, y, x, bsamples, ..., dx = dx, dy = dy, na.rm = na.rm) }else { if(missing(boot.R)) { boot.R = 0 } - simple.nlsfit(fn, par.guess, y, x, errormodel, ..., dx = dx, dy = dy, boot.R = boot.R) + simple.nlsfit(fn, par.guess, y, x, errormodel, ..., dx = dx, dy = dy, boot.R = boot.R, na.rm = na.rm) } } @@ -141,7 +142,8 @@ parametric.nlsfit <- function (fn, par.guess, boot.R, y, dy, x, dx, ..., bootstr #' #' @export #' @family NLS fit functions -parametric.nlsfit.cov <- function (fn, par.guess, boot.R, y, x, cov, ..., bootstrap=TRUE) { +parametric.nlsfit.cov <- function (fn, par.guess, boot.R, y, x, cov, + ..., bootstrap=TRUE, na.rm = FALSE) { stopifnot(length(x) == length(y)) if (ncol(cov) == length(y)) { @@ -157,12 +159,12 @@ parametric.nlsfit.cov <- function (fn, par.guess, boot.R, y, x, cov, ..., bootst if (bootstrap) { stopifnot(!missing(boot.R)) bsamples <- parametric.bootstrap.cov(boot.R, values, cov) - bootstrap.nlsfit(fn, par.guess, y, x, bsamples, ..., CovMatrix = cov) + bootstrap.nlsfit(fn, par.guess, y, x, bsamples, ..., CovMatrix = cov, na.rm = na.rm) }else { if(missing(boot.R)) { boot.R = 0 } - simple.nlsfit(fn, par.guess, y, x, errormodel, ..., CovMatrix = cov, boot.R = boot.R) + simple.nlsfit(fn, par.guess, y, x, errormodel, ..., CovMatrix = cov, boot.R = boot.R, na.rm = na.rm) } } @@ -179,7 +181,7 @@ get.errors <- function (useCov, y, dy, dx, CovMatrix, errormodel, bsamples, cov_ } } - if (missing(CovMatrix)) { + if (is.null(CovMatrix)) { InvCovMatrix <- try(invertCovMatrix(bsamples, boot.l = 1, boot.samples = TRUE, cov_fn = cov_fn), silent = TRUE) inversion.worked(InvCovMatrix) dY <- chol(InvCovMatrix) @@ -276,7 +278,7 @@ get.errors.wo.bootstrap <- function (useCov, y, dy, dx, CovMatrix, errormodel) { return(list(dY=dY, dy=dy, dx=dx)) } -set.fitchi <- function (fn, errormodel, useCov, dY, x, ipx) { +set.fitchi <- function (fn, errormodel, useCov, dY, x, ipx, na.rm) { ## define the chi-vector, the sum of squares of which has to be minimized ## the definitions depend on the errormodel and the use of covariance ## BUT it always has the same name @@ -294,15 +296,25 @@ set.fitchi <- function (fn, errormodel, useCov, dY, x, ipx) { } } - return(fitchi) + if(na.rm){ + if(useCov){ + dY.na = apply(is.na(dY), 1, any) + fitchi.wo.na <- function(y, par, ...) { ifelse(is.na(y) | dY.na, 0, fitchi(y, par, ...)) } + }else{ + fitchi.wo.na <- function(y, par, ...) { ifelse(is.na(y) | is.na(dY), 0, fitchi(y, par, ...)) } + } + return(fitchi.wo.na) + }else{ + return(fitchi) + } } -set.dfitchi <- function (gr, dfn, errormodel, useCov, dY, x, ipx) { +set.dfitchi <- function (gr, dfn, errormodel, useCov, dY, x, ipx, na.rm) { ## define the derivatives of chi and chi^2 if(missing(gr) || (errormodel == "xyerrors" && missing(dfn))){ ## in case no derivative is known, the functions are set to NULL ## this is the default in the optimization functions anyway - dfitchi <- NULL + return(NULL) }else{ ## the format of gr has to be nrows=length(par), ncols=length(Y) if(errormodel == "yerrors"){ @@ -312,8 +324,9 @@ set.dfitchi <- function (gr, dfn, errormodel, useCov, dY, x, ipx) { dfitchi <- function(par, ...) { -dY * gr(par=par, x=x, ...) } } }else{ + nx <- length(x) jacobian <- function(par, ...) { - df.dpar <- rbind(gr(par=par[-ipx], x=par[ipx], ...), array(0,dim=c(nx,length(par.guess)))) + df.dpar <- rbind(gr(par=par[-ipx], x=par[ipx], ...), array(0,dim=c(nx,length(par)))) df.dx <- rbind(diag(dfn(par=par[-ipx], x=par[ipx], ...)), diag(1,nx)) return(cbind(df.dpar, df.dx)) } @@ -323,9 +336,19 @@ set.dfitchi <- function (gr, dfn, errormodel, useCov, dY, x, ipx) { dfitchi <- function(par, ...) { -dY * jacobian(par, ...) } } } - } - return(dfitchi) + if(na.rm){ + if(useCov){ + dY.na = apply(is.na(dY), 1, any) + dfitchi.wo.na <- function(y, par, ...) { ifelse(is.na(y) | dY.na, 0, dfitchi(y, par, ...)) } + }else{ + dfitchi.wo.na <- function(y, par, ...) { ifelse(is.na(dY), 0, dfitchi(y, par, ...)) } + } + return(dfitchi.wo.na) + }else{ + return(dfitchi) + } + } } set.dfitchisqr <- function (fitchi, dfitchi) { @@ -337,9 +360,9 @@ set.dfitchisqr <- function (fitchi, dfitchi) { return(dfitchisqr) } -set.wrapper <- function (fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success_infos) { - fitchi <- set.fitchi(fn, errormodel, useCov, dY, x, ipx) - dfitchi <- set.dfitchi(gr, dfn, errormodel, useCov, dY, x, ipx) +set.wrapper <- function (fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success.infos, na.rm) { + fitchi <- set.fitchi(fn, errormodel, useCov, dY, x, ipx, na.rm) + dfitchi <- set.dfitchi(gr, dfn, errormodel, useCov, dY, x, ipx, na.rm) ## define the wrapper-functions for optimization if (lm.avail) { control = minpack.lm::nls.lm.control(ftol=1.e-8, ptol=1.e-8, maxfev=maxiter*10, maxiter=maxiter) @@ -350,7 +373,7 @@ set.wrapper <- function (fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, control = control, ...)) - list(converged = res$info %in% success_infos, + list(converged = res$info %in% success.infos, info = res$info, par = res$par, chisq = res$rsstrace[length(res$rsstrace)], @@ -411,8 +434,9 @@ simple.nlsfit <- function(fn, use.minpack.lm = TRUE, error = sd, maxiter = 500, - success_infos = 1:3, - relative.weights = FALSE) { + success.infos = 1:3, + relative.weights = FALSE, + na.rm = FALSE) { stopifnot(!missing(y)) stopifnot(!missing(x)) stopifnot(!missing(par.guess)) @@ -443,7 +467,7 @@ simple.nlsfit <- function(fn, dy <- all.errors$dy dx <- all.errors$dx - wrapper <- set.wrapper(fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success_infos) + wrapper <- set.wrapper(fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success.infos, na.rm) ## now the actual fit is performed first.res <- wrapper(Y, par.Guess, ...) @@ -527,7 +551,7 @@ simple.nlsfit <- function(fn, #' @param fn `fn(par, x, ...)`. The (non-linear) function to be fitted to the #' data. Its first argument must be the fit parameters named \code{par}. The #' second must be \code{x}, the explaining variable. Additional parameters -#' might be passed to the function. Currently we pass `boot_r` which is `0` +#' might be passed to the function. Currently we pass `boot.r` which is `0` #' for the original data and the ID (1, ...) of the bootstrap sample otherwise. #' As more parameters might be added in the future it is recommended that the #' fit function accepts `...` as the last parameter to be forward compatible. @@ -555,7 +579,9 @@ simple.nlsfit <- function(fn, #' is given. #' @param CovMatrix complete variance-covariance matrix of dimensions #' \code{c(length(y), length(y))} or \code{c(length(y)+length(x), -#' length(y)+length(x))} depending on the errormodel. +#' length(y)+length(x))} depending on the errormodel. Pass `NULL` if the matrix +#' has to be calculated from the `bsamples`. If missing, uncorrelated fit will +#' be used. #' @param use.minpack.lm use the \code{minpack.lm} library if available. This #' is usually faster than the default \code{optim} but somtimes also less #' stable. @@ -564,9 +590,11 @@ simple.nlsfit <- function(fn, #' @param error Function that takes a sample vector and returns the error #' estimate. This is a parameter in order to support different resampling #' methods like jackknife. +#' @param cov_fn function. Function to compute the covariance +#' (matrix). Default is \link{cov}. #' @param maxiter integer. Maximum number of iterations that can be used in the #' optimization process. -#' @param success_infos integer vector. When using `minpack.lm` there is the +#' @param success.infos integer vector. When using `minpack.lm` there is the #' `info` in the return value. Values of 1, 2 or 3 are certain success. A value #' of 4 could either be a success or a saddle point. If you want to interpret #' this as a success as well just pass `1:4` instead of the default `1:3`. @@ -574,9 +602,9 @@ simple.nlsfit <- function(fn, #' relative weights instead of absolute ones? If TRUE, the covariance martix #' of the fit parameter results is multiplied by chi^2/dof. This is the default #' in many fit programs, e.g. gnuplot. -#' @param cov_fn function. Function to compute the covariance -#' (matrix). Default is \link{cov}. -#' +#' @param na.rm logical. If set to `true`, NAs in `y` and `dy` will be ignored. +#' If x-errors are taken into account, NAs in `x` and `dx` will be ignored, too. +#' #' @return #' returns a list of class 'bootstrapfit'. It returns all input #' parameters and adds in addition the following: @@ -610,7 +638,7 @@ simple.nlsfit <- function(fn, #' dx <- c(0.1, 0.1, 0.1) #' boot.R <- 1500 #' -#' fn <- function (par, x, boot_r, ...) par[1] + par[2] * x +#' fn <- function (par, x, boot.r, ...) par[1] + par[2] * x #' #' ## Before we can use the fit with this data, we need to create bootstrap #' ## samples. We do not want to use the correlation matrix here. Note that you @@ -641,8 +669,9 @@ bootstrap.nlsfit <- function(fn, error = sd, cov_fn = cov, maxiter = 500, - success_infos = 1:3, - relative.weights = FALSE) { + success.infos = 1:3, + relative.weights = FALSE, + na.rm = FALSE) { stopifnot(!missing(y)) stopifnot(!missing(x)) stopifnot(!missing(par.guess)) @@ -689,10 +718,10 @@ bootstrap.nlsfit <- function(fn, ## add original data as first row bsamples <- rbind(Y, bsamples) - wrapper <- set.wrapper(fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success_infos) + wrapper <- set.wrapper(fn, gr, dfn, errormodel, useCov, dY, x, ipx, lm.avail, maxiter, success.infos, na.rm) ## now the actual fit is performed - first.res <- wrapper(Y, par.Guess, boot_r = 0, ...) + first.res <- wrapper(Y, par.Guess, boot.r = 0, ...) if (!first.res$converged) { stop(sprintf('The first fit to the original data has failed. The `info` from the algorithm is `%d`', first.res$info)) } @@ -703,7 +732,7 @@ bootstrap.nlsfit <- function(fn, my.lapply <- lapply } - boot.list <- my.lapply(crr, function(sample) { wrapper(y=bsamples[sample,], par=first.res$par, boot_r = sample - 1, ...) }) + boot.list <- my.lapply(crr, function(sample) { wrapper(y=bsamples[sample,], par=first.res$par, boot.r = sample - 1, ...) }) par.boot <- do.call(rbind, lapply(boot.list, function (elem) elem$par)) @@ -888,14 +917,14 @@ plot.bootstrapfit <- function(x, ..., col.line="black", col.band="gray", opacity ## to include additional parameter to x$fn originally given as ... to ## bootstrap.nlsfit requires some pull-ups - Y <- do.call(x$fn, c(list(par = x$t0[1:npar], x = X, boot_r = 0), x$tofn)) + Y <- do.call(x$fn, c(list(par = x$t0[1:npar], x = X, boot.r = 0), x$tofn)) if(!is.null(x$t)) { ## error band ## define a dummy function to be used in apply - prediction_boot_fn <- function (boot_r) { - par <- x$t[boot_r, 1:npar, drop = FALSE] - do.call(x$fn, c(list(par = par, x = X, boot_r = boot_r), x$tofn)) + prediction_boot_fn <- function (boot.r) { + par <- x$t[boot.r, 1:npar, drop = FALSE] + do.call(x$fn, c(list(par = par, x = X, boot.r = boot.r), x$tofn)) } predictions <- do.call(rbind, lapply(1:nrow(x$t), prediction_boot_fn)) se <- apply(predictions, 2, error, na.rm = TRUE) diff --git a/R/cf.R b/R/cf.R index 69bcfafcf..9bb3f98a9 100644 --- a/R/cf.R +++ b/R/cf.R @@ -361,6 +361,7 @@ is_empty.cf <- function (.cf) { #' #' has_icf <- function(.cf) { + stopifnot( inherits(.cf, 'cf') ) return( !is.null(.cf$icf) ) } @@ -620,7 +621,6 @@ jackknife_rw.cf <- function(cf, rw, boot.l = 1) { return (invisible(cf)) } # Gamma method analysis on all time-slices in a 'cf' object -======= #' uwerr.cf #' @description #' Gamma method analysis on all time-slices in a 'cf' object @@ -911,27 +911,6 @@ mul.cf <- function(cf, a=1.) { return (cf) } -# "close-by-times" averaging replaces the value of the correlation function at t -# with the "hypercubic" average with the values at the neighbouring time-slices -# with weights 0.25, 0.5 and 0.25 -# C(t') = 0.25 C(t-1) + 0.5 C(t) + 0.25 C(t+1) -# where periodic boundary conditions are assumed in shift.cf -avg.cbt.cf <- function(cf){ - stopifnot(inherits(cf, 'cf_meta')) - stopifnot(inherits(cf, 'cf_orig')) - - # copy for shifting - cf2 <- cf - cf <- mul.cf(cf, 0.5) - - # average over shifted correlation functions - for( p in c(-1,1) ){ - cf <- cf + mul.cf(shift.cf(cf2,p),0.25) - } - cf <- invalidate.samples.cf(cf) - return(invisible(cf)) -} - extractSingleCor.cf <- function(cf, id=c(1)) { stopifnot(inherits(cf, 'cf_meta')) stopifnot(inherits(cf, 'cf_orig')) diff --git a/R/cyprus_readutils.R b/R/cyprus_readutils.R index 930d459c0..864bb7976 100644 --- a/R/cyprus_readutils.R +++ b/R/cyprus_readutils.R @@ -120,7 +120,7 @@ cyprus_read_loops <- function(selections, files, Time, nstoch, accumulated = TRU h5f <- rhdf5::H5Fopen(f, flags = "H5F_ACC_RDONLY") - group_names <- h5ls(h5f)$name + group_names <- rhdf5::h5ls(h5f)$name avail_loop_types <- unlist( lapply( selected_loop_types, function(x){ x %in% group_names } ) ) if( any( !avail_loop_types ) ){ @@ -130,7 +130,7 @@ cyprus_read_loops <- function(selections, files, Time, nstoch, accumulated = TRU ) stop(msg) } - if( !H5Lexists(h5f, "Momenta_list_xyz") ){ + if( !rhdf5::H5Lexists(h5f, "Momenta_list_xyz") ){ stop(sprintf("'Momenta_list_xyz' could not be found in %s!", f)) } # we transpose this to get the momenta as the rows of a matrix @@ -225,7 +225,7 @@ cyprus_read_loops <- function(selections, files, Time, nstoch, accumulated = TRU } } # istoch } # loop_type - H5Fclose(h5f) + rhdf5::H5Fclose(h5f) if(verbose) tictoc::toc() } # ifile for( loop_type in selected_loop_types ){ diff --git a/R/gevp.R b/R/gevp.R index ca0a171a4..5aee67115 100644 --- a/R/gevp.R +++ b/R/gevp.R @@ -233,9 +233,7 @@ gevp2cf <- function(gevp, id=1) { if (inherits(gevp$cf, 'cf_weighted')) { cf <- cf_weighted(cf, weight.factor = gevp$cf$weight.factor, - weight.cosh = gevp$cf$weight.cosh, - mass1 = gevp$cf$mass1, - mass2 = gevp$cf$mass2) + weight.cosh = gevp$cf$weight.cosh) } # Add some other stuff diff --git a/R/hankel.R b/R/hankel.R index 7844aa909..0eb7368c8 100644 --- a/R/hankel.R +++ b/R/hankel.R @@ -116,7 +116,7 @@ gevp.hankel <- function(cf, t0=1, deltat=1, n, N, eps=0.0001, range=c(0,1), #' Double indexing is allowed. #' @param id Integer. #' -#' @familiy hankel +#' @family hankel bootstrap.hankel <- function(cf, t0, deltat=1, n, N, id=c(1), range=c(0,1), eps=0.001, element.order=c(1,2,3,4), submatrix.size=1) { if(t0+2*n+deltat >= N) { diff --git a/R/looptools.R b/R/looptools.R index b8b722f73..6cbfc0ccb 100644 --- a/R/looptools.R +++ b/R/looptools.R @@ -150,12 +150,9 @@ loop_2pt <- function(loop_snk, loop_src, dims <- loop_snk$dim if( random_vectors_outer_product ){ - dplyr_avail <- requireNamespace("dplyr") - if( !dplyr_avail ) stop("To use this function with 'random_vectors_outer_product = TRUE', the 'dplyr' package must be available.") random_idcs <- expand.grid( 1:dims[1], 1:dims[1], KEEP.OUT.ATTRS = FALSE) colnames(random_idcs) <- c("r1", "r2") - random_idcs <- dplyr::filter(random_idcs, - r1 != r2) + random_idcs <- random_idcs[ which(random_idcs$r1 != random_idcs$r2), ] } for( t_sep in 0:(Time-1) ){ diff --git a/R/new_matrixfit.R b/R/new_matrixfit.R index 988239a0b..cc6f1e4bc 100644 --- a/R/new_matrixfit.R +++ b/R/new_matrixfit.R @@ -1,9 +1,8 @@ -library(R6) - -MatrixModel <- R6Class( +MatrixModel <- R6::R6Class( 'MatrixModel', public = list( initialize = function (time_extent, parind, sign_vec, ov_sign_vec) { + self$time_extent <- time_extent self$parind <- parind self$sign_vec <- sign_vec @@ -51,7 +50,7 @@ MatrixModel <- R6Class( ) ) -SingleModel <- R6Class( +SingleModel <- R6::R6Class( 'SingleModel', inherit = MatrixModel, public = list( @@ -91,7 +90,7 @@ SingleModel <- R6Class( ) ) -ShiftedModel <- R6Class( +ShiftedModel <- R6::R6Class( 'ShiftedModel', inherit = MatrixModel, public = list( @@ -143,7 +142,7 @@ ShiftedModel <- R6Class( ) ) -TwoStateModel <- R6Class( +TwoStateModel <- R6::R6Class( 'TwoStateModel', inherit = MatrixModel, public = list( @@ -198,7 +197,7 @@ TwoStateModel <- R6Class( #' #' @description #' n particle correlator with thermal pollution term(s) -NParticleModel <- R6Class( +NParticleModel <- R6::R6Class( 'NParticleModel', inherit = MatrixModel, public = list( @@ -238,6 +237,31 @@ NParticleModel <- R6Class( ) ) +#' perform a factorising fit of a matrix of correlation functions +#' +#' Modernised and extended implementation of \link{matrixfit} +#' +#' @param cf Object of class `cf` with `cf_meta` and `cf_boot`. +#' @param t1 Integer, start time slice of fit range (inclusive). +#' @param t2 Integer, end time slie of fit range (inclusive). +#' @param parlist Numeric vector, list of parameters for the model function. +#' @param sym.vec Integer, numeric or vectors thereof specifying the +#' symmetry properties of the correlation functions +#' stored in `cf`. See \link{matrixfit} for details. +#' @param neg.vec Integer or integer vector of global signs, see \link{matrixfit} for details. +#' @param useCov Boolean, specifies whether a correlated chi^2 fit should be performed. +#' @param model String, specifies the type of model to be assumed for the correlator. +#' See \link{matrixfit} for details. +#' @param boot.fit Boolean, specifies if the fit should be bootstrapped. +#' @param fit.method String, specifies which minimizer should be used. See \link{matrixfit} for +#' details. +#' @param autoproceed Boolean, if TRUE, specifies that if inversion of the covariance matrix fails, +#' the function should proceed anyway assuming no correlation (diagonal covariance matrix). +#' @param par.guess Numeric vector, initial values for the paramters, should be of the +#' same length as `parlist`. +#' @param every Integer, specifies a stride length by which the fit range should be sparsened, +#' using just `every`th time slice in the fit. +#' @param ... Further parameters. #' @export new_matrixfit <- function(cf, t1, t2, @@ -459,4 +483,4 @@ make_parind <- function (parlist, length_time, summands = 1) { } } return(parind) -} \ No newline at end of file +} diff --git a/R/removeTemporal.cf.R b/R/removeTemporal.cf.R index 2be09b636..b72be4958 100644 --- a/R/removeTemporal.cf.R +++ b/R/removeTemporal.cf.R @@ -134,14 +134,14 @@ old_removeTemporal.cf <- function(cf, ## Multiply with the exponential inverse ## The time has to be shifted by deltat because the first deltat timeslices are filled ## up with NaN by takeTimeDiff() - Exptt <- exp(-(mass2$t0-mass1$t0)*c(-deltat:(Time/2-deltat))) + cosh.factor *exp(-(mass2$t0-mass1$t0)*(Time-c(-deltat:(Time/2-deltat)))) + Exptt <- exp((mass2$t0-mass1$t0)*c(-deltat:(Time/2-deltat))) + cosh.factor *exp((mass2$t0-mass1$t0)*(Time-c(-deltat:(Time/2-deltat)))) if(!is.null(cf$cf)) { - cf$cf <- cf$cf*t(array(Exptt, dim=dim(cf$cf)[c(2,1)])) + cf$cf <- cf$cf/t(array(Exptt, dim=dim(cf$cf)[c(2,1)])) } - cf$cf.tsboot$t0 <- cf$cf.tsboot$t0*Exptt + cf$cf.tsboot$t0 <- cf$cf.tsboot$t0/Exptt for(i in c(1:cf$boot.R)) { - cf$cf.tsboot$t[i,] <- cf$cf.tsboot$t[i,]* - (exp(-(mass2$t[i]-mass1$t[i])*c(-deltat:(Time/2-deltat))) + cosh.factor *exp(-(mass2$t[i]-mass1$t[i])*(Time-c(-deltat:(Time/2-deltat)))) ) + cf$cf.tsboot$t[i,] <- cf$cf.tsboot$t[i,]/ + (exp((mass2$t[i]-mass1$t[i])*c(-deltat:(Time/2-deltat))) + cosh.factor *exp((mass2$t[i]-mass1$t[i])*(Time-c(-deltat:(Time/2-deltat)))) ) } # We perform a clean copy of the data now to make sure that all invariants @@ -180,7 +180,7 @@ old_removeTemporal.cf <- function(cf, #' @return #' The shifted correlator as an object of type `cf`, see \link{cf} #' -#' @eport +#' @export takeTimeDiff.cf <- function (cf, deltat = 1, forwardshift = FALSE) { stopifnot(inherits(cf, 'cf_meta')) stopifnot(inherits(cf, 'cf_orig')) @@ -285,15 +285,39 @@ dispersion_relation <- function (energy, momentum_d, extent_space, plus = TRUE, return (energy_out) } +#' generic function to extract a fitted mass +#' +#' @description +#' One of the main analysis tasks in \link{hadron} is the estimation +#' of energy levels or masses from correlation functions. The +#' corresponding analysis functions return objects, typically lists, +#' containing the masses or energy levels. `extract_mass` is a +#' generic function to extrac such fitted mass values. +#' +#' @param object Object to extract the mass from. +#' +#' @return Numeric. The mass value. extract_mass <- function (object) { UseMethod('extract_mass') } +#' specialisation of \link{extract_mass} to objects of type +#' `effectivemassfit` +#' +#' @param object Object of type `effectivemassfit` to extract the mass from. +#' +#' @return Numeric. The mass value. extract_mass.effectivemassfit <- function (object) { list(t0 = object$opt.res$par[1], t = object$massfit.tsboot[,1]) } +#' specialisation of \link{extract_mass} to objects of type +#' `matrixfit` +#' +#' @param object Object of type `matrixfit` to extract the mass from. +#' +#' @return Numeric. The mass value. extract_mass.matrixfit <- function (object) { list(t0 = object$opt.res$par[1], t = object$opt.tsboot[1,]) @@ -306,10 +330,30 @@ make_weight_factor <- function (energy_difference, time_extent, time_start, cosh_factor * exp(energy_difference * (time_extent - time_slices)) } +#' Weight a correlation function +#' +#' @description +#' Weights a correlation function with the given energy difference \eqn{\Delta E}{Delta E} +#' such that the function is first multiplied with +#' \eqn{\exp(\Delta E t) + c \exp(\Delta E \cdot (T - t)}{exp(Delta E t) + c exp(Delta E(T-t))}. +#' +#' @param cf cf_orig and possibly cf_boot object. +#' @param energy_difference_val numeric. A single energy value \eqn{\Delta E}{Delta E} for +#' the weighting. +#' @param energy_difference_boot numeric vector. Samples for the energy +#' difference value. +#' @param cosh_factor integer, either `+1` or `-1`. Determines the sign $c$ in +#' the weight factor. +#' @param offset integer. Offset for the time $t$, needed for the reweighting +#' after a shift. +#' @param inverse boolean. If `TRUE` apply inverse weight. weight.cf <- function (cf, energy_difference_val, energy_difference_boot, - cosh_factor, offset = 0) { + cosh_factor, offset = 0, inverse = FALSE) { Exptt <- make_weight_factor(energy_difference_val, cf$Time, offset, cf$Time/2 + offset, cosh_factor) + if (inverse) { + Exptt <- 1 / Exptt + } if (!is.null(cf$cf)) { cf$cf <- cf$cf * t(array(Exptt, dim = dim(cf$cf)[c(2, 1)])) } @@ -317,18 +361,27 @@ weight.cf <- function (cf, energy_difference_val, energy_difference_boot, for (i in c(1:cf$boot.R)) { Exptt <- make_weight_factor(energy_difference_boot[i], cf$Time, offset, cf$Time/2 + offset, cosh_factor) + if (inverse) { + Exptt <- 1 / Exptt + } cf$cf.tsboot$t[i, ] <- cf$cf.tsboot$t[i, ] * Exptt } return (cf) } +#' Weight-shift-reweight a correlation function +#' +#' The correlation function is weighted with [`weight.cf`], then shifted, and +#' then weighted again with the inverse weighting factor. +#' +#' @inheritParams weight.cf weight_shift_reweight.cf <- function (cf, energy_difference_val, energy_difference_boot, cosh_factor) { cf <- weight.cf(cf, energy_difference_val, energy_difference_boot, - cosh_factor, 0) + cosh_factor, 0, FALSE) cf <- takeTimeDiff.cf(cf) - cf <- weight.cf(cf, -energy_difference_val, -energy_difference_boot, - cosh_factor, -1) + cf <- weight.cf(cf, energy_difference_val, energy_difference_boot, + cosh_factor, -1, TRUE) # We perform a clean copy of the data now to make sure that all invariants # hold and that no new fields have been added that we are not aware of. @@ -353,6 +406,20 @@ weight_shift_reweight.cf <- function (cf, energy_difference_val, energy_differen return (invisible(ret)) } +#' Remove Thermal States by Weighting and Shifting +#' +#' @param cf Object of type \link{cf} +#' @param single.cf1 Object of type \link{cf} +#' @param single.cf2 Object of type \link{cf} +#' @param p1 Numeric vector. Spatial momentum of first state +#' @param p2 Numeric vector. Spatial momentum of second state +#' @param L Integer. Spatial lattice extend. +#' @param lat.disp Boolean. Use lattice dispersion relation instead of +#' continuum one +#' @param weight.cosh Boolean. Use cosh functional form in the +#' weighting procedure +#' +#' @return weighted and shifted correlation function as a \link{cf} object. removeTemporal.cf <- function(cf, single.cf1, single.cf2, p1=c(0,0,0), p2=c(0,0,0), L, lat.disp=TRUE, weight.cosh=FALSE) { diff --git a/R/tex-utils.R b/R/tex-utils.R index c2a2798d7..06ed9875f 100644 --- a/R/tex-utils.R +++ b/R/tex-utils.R @@ -122,12 +122,14 @@ tex.catwitherror <- function(x, dx, digits=1, with.dollar=TRUE, human.readable=T #' @title Escape special LaTeX characters for use in LaTeX labels #' #' @param x String or vector of strings. -#' @value String or vector of strings with all occurences of "#", "$", "%", +#' @return String or vector of strings with all occurences of "#", "$", "%", #' "&", "~", "_", "^", ">", "<" replaced by escaped #' counterparts which should render fine when used in a tikz plot, for #' example. #' @export -# from https://stackoverflow.com/questions/36338629/escaping-special-latex-characters-in-r +#' +#' 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The mass value. +} +\description{ +One of the main analysis tasks in \link{hadron} is the estimation +of energy levels or masses from correlation functions. The +corresponding analysis functions return objects, typically lists, +containing the masses or energy levels. \code{extract_mass} is a +generic function to extrac such fitted mass values. +} diff --git a/man/extract_mass.effectivemassfit.Rd b/man/extract_mass.effectivemassfit.Rd new file mode 100644 index 000000000..45d145789 --- /dev/null +++ b/man/extract_mass.effectivemassfit.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/removeTemporal.cf.R +\name{extract_mass.effectivemassfit} +\alias{extract_mass.effectivemassfit} +\title{specialisation of \link{extract_mass} to objects of type +\code{effectivemassfit}} +\usage{ +\method{extract_mass}{effectivemassfit}(object) +} +\arguments{ +\item{object}{Object of type \code{effectivemassfit} to extract the mass from.} +} +\value{ +Numeric. The mass value. +} +\description{ +specialisation of \link{extract_mass} to objects of type +\code{effectivemassfit} +} diff --git a/man/extract_mass.matrixfit.Rd b/man/extract_mass.matrixfit.Rd new file mode 100644 index 000000000..7dbd46fb2 --- /dev/null +++ b/man/extract_mass.matrixfit.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/removeTemporal.cf.R +\name{extract_mass.matrixfit} +\alias{extract_mass.matrixfit} +\title{specialisation of \link{extract_mass} to objects of type +\code{matrixfit}} +\usage{ +\method{extract_mass}{matrixfit}(object) +} +\arguments{ +\item{object}{Object of type \code{matrixfit} to extract the mass from.} +} +\value{ +Numeric. The mass value. +} +\description{ +specialisation of \link{extract_mass} to objects of type +\code{matrixfit} +} diff --git a/man/foldr1.Rd b/man/foldr1.Rd index e37fe7f5a..db02e2e4f 100644 --- a/man/foldr1.Rd +++ b/man/foldr1.Rd @@ -7,7 +7,7 @@ foldr1(f, xs) } \arguments{ -\item{f}{\code{function}. A binary function that takes two elements of the type +\item{f}{\verb{function}. A binary function that takes two elements of the type contained in \code{xs} and returns another such element.} \item{xs}{\code{list} or vector. Homogenious list or vector of elements. diff --git a/man/gevp.hankel.Rd b/man/gevp.hankel.Rd index 6540cae15..ca34ad2ff 100644 --- a/man/gevp.hankel.Rd +++ b/man/gevp.hankel.Rd @@ -4,8 +4,8 @@ \alias{gevp.hankel} \title{GEVP method based on Hankel matrices. Experimental.} \usage{ -gevp.hankel(cf, t0 = 1, deltat = 1, n, N, eps = 1e-04, range = c(0, - 1), submatrix.size = 1, element.order = c(1, 2, 3, 4), id = c(1), +gevp.hankel(cf, t0 = 1, deltat = 1, n, N, eps = 1e-04, range = c(0, 1), + submatrix.size = 1, element.order = c(1, 2, 3, 4), id = c(1), debug = FALSE) } \arguments{ @@ -43,4 +43,8 @@ matrices. A so-called Hankel matrix is generated from an input \link{cf} object and a generalised eigenvalue problem is solved then. } +\seealso{ +Other hankel: +\code{\link{bootstrap.hankel}()} +} \concept{hankel} diff --git a/man/new_matrixfit.Rd b/man/new_matrixfit.Rd new file mode 100644 index 000000000..2b90ea7ba --- /dev/null +++ b/man/new_matrixfit.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/new_matrixfit.R +\name{new_matrixfit} +\alias{new_matrixfit} +\title{perform a factorising fit of a matrix of correlation functions} +\usage{ +new_matrixfit(cf, t1, t2, parlist, sym.vec, neg.vec, useCov = FALSE, + model = "single", boot.fit = TRUE, fit.method = "optim", + autoproceed = FALSE, par.guess, every, ...) +} +\arguments{ +\item{cf}{Object of class \code{cf} with \code{cf_meta} and \code{cf_boot}.} + +\item{t1}{Integer, start time slice of fit range (inclusive).} + +\item{t2}{Integer, end time slie of fit range (inclusive).} + +\item{parlist}{Numeric vector, list of parameters for the model function.} + +\item{sym.vec}{Integer, numeric or vectors thereof specifying the +symmetry properties of the correlation functions +stored in \code{cf}. See \link{matrixfit} for details.} + +\item{neg.vec}{Integer or integer vector of global signs, see \link{matrixfit} for details.} + +\item{useCov}{Boolean, specifies whether a correlated chi^2 fit should be performed.} + +\item{model}{String, specifies the type of model to be assumed for the correlator. +See \link{matrixfit} for details.} + +\item{boot.fit}{Boolean, specifies if the fit should be bootstrapped.} + +\item{fit.method}{String, specifies which minimizer should be used. See \link{matrixfit} for +details.} + +\item{autoproceed}{Boolean, if TRUE, specifies that if inversion of the covariance matrix fails, +the function should proceed anyway assuming no correlation (diagonal covariance matrix).} + +\item{par.guess}{Numeric vector, initial values for the paramters, should be of the +same length as \code{parlist}.} + +\item{every}{Integer, specifies a stride length by which the fit range should be sparsened, +using just \code{every}th time slice in the fit.} + +\item{...}{Further parameters.} +} +\description{ +Modernised and extended implementation of \link{matrixfit} +} diff --git a/man/old_removeTemporal.cf.Rd b/man/old_removeTemporal.cf.Rd index f766a35c8..419e01f65 100644 --- a/man/old_removeTemporal.cf.Rd +++ b/man/old_removeTemporal.cf.Rd @@ -4,9 +4,8 @@ \alias{old_removeTemporal.cf} \title{Remove temporal states} \usage{ -old_removeTemporal.cf(cf, single.cf1, single.cf2, p1 = c(0, 0, 0), - p2 = c(0, 0, 0), L, lat.disp = TRUE, weight.cosh = FALSE, - deltat = 1) +old_removeTemporal.cf(cf, single.cf1, single.cf2, p1 = c(0, 0, 0), p2 = c(0, + 0, 0), L, lat.disp = TRUE, weight.cosh = FALSE, deltat = 1) } \arguments{ \item{cf}{Object of type \code{cf}, two-to-two particle correlation function which diff --git a/man/parametric.bootstrap.Rd b/man/parametric.bootstrap.Rd index 6b6e59fb3..3ea008d16 100644 --- a/man/parametric.bootstrap.Rd +++ b/man/parametric.bootstrap.Rd @@ -33,13 +33,14 @@ dx <- 1:3 * 0.1 parametric.bootstrap(5, x, dx) } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/parametric.bootstrap.cov.Rd b/man/parametric.bootstrap.cov.Rd index 3fdb1ebc4..e3acb9e74 100644 --- a/man/parametric.bootstrap.cov.Rd +++ b/man/parametric.bootstrap.cov.Rd @@ -35,13 +35,14 @@ cov <- matrix(c(0.1, 0, 0.01, parametric.bootstrap.cov(5, x, cov) } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/parametric.nlsfit.Rd b/man/parametric.nlsfit.Rd index 3a7b903ee..83b3a9f68 100644 --- a/man/parametric.nlsfit.Rd +++ b/man/parametric.nlsfit.Rd @@ -4,14 +4,14 @@ \alias{parametric.nlsfit} \title{NLS fit with parametric bootstrap} \usage{ -parametric.nlsfit(fn, par.guess, boot.R, y, dy, x, dx, ..., - bootstrap = TRUE) +parametric.nlsfit(fn, par.guess, boot.R, y, dy, x, dx, ..., bootstrap = TRUE, + na.rm = FALSE) } \arguments{ \item{fn}{\code{fn(par, x, ...)}. The (non-linear) function to be fitted to the data. Its first argument must be the fit parameters named \code{par}. The second must be \code{x}, the explaining variable. Additional parameters -might be passed to the function. Currently we pass \code{boot_r} which is \code{0} +might be passed to the function. Currently we pass \code{boot.r} which is \code{0} for the original data and the ID (1, ...) of the bootstrap sample otherwise. As more parameters might be added in the future it is recommended that the fit function accepts \code{...} as the last parameter to be forward compatible.} @@ -45,6 +45,9 @@ is given.} \item{bootstrap}{Shall the error calculation be performed using boostrap? If not, the errors are estimated with help of the jacobian (either provided in \code{gr} or calculated using the \code{numDeriv}-package).} + +\item{na.rm}{logical. If set to \code{true}, NAs in \code{y} and \code{dy} will be ignored. +If x-errors are taken into account, NAs in \code{x} and \code{dx} will be ignored, too.} } \description{ NLS fit with parametric bootstrap @@ -63,13 +66,14 @@ fit.result <- parametric.nlsfit(fn, c(1, 1), boot.R, value, dvalue, x, dx) summary(fit.result) } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/parametric.nlsfit.cov.Rd b/man/parametric.nlsfit.cov.Rd index 1c554b3ae..4c02714a6 100644 --- a/man/parametric.nlsfit.cov.Rd +++ b/man/parametric.nlsfit.cov.Rd @@ -4,14 +4,14 @@ \alias{parametric.nlsfit.cov} \title{parametric.nlsfit.cov} \usage{ -parametric.nlsfit.cov(fn, par.guess, boot.R, y, x, cov, ..., - bootstrap = TRUE) +parametric.nlsfit.cov(fn, par.guess, boot.R, y, x, cov, ..., bootstrap = TRUE, + na.rm = FALSE) } \arguments{ \item{fn}{\code{fn(par, x, ...)}. The (non-linear) function to be fitted to the data. Its first argument must be the fit parameters named \code{par}. The second must be \code{x}, the explaining variable. Additional parameters -might be passed to the function. Currently we pass \code{boot_r} which is \code{0} +might be passed to the function. Currently we pass \code{boot.r} which is \code{0} for the original data and the ID (1, ...) of the bootstrap sample otherwise. As more parameters might be added in the future it is recommended that the fit function accepts \code{...} as the last parameter to be forward compatible.} @@ -32,18 +32,22 @@ between the various variables in the vector \code{x}.} \item{...}{Additional parameters passed to \code{fn}, \code{gr} and \code{dfn}.} \item{bootstrap}{boolean. If \code{TRUE}, bootstrap is used.} + +\item{na.rm}{logical. If set to \code{true}, NAs in \code{y} and \code{dy} will be ignored. +If x-errors are taken into account, NAs in \code{x} and \code{dx} will be ignored, too.} } \description{ NLS fit with parametric bootstrap and covariance } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/plot.bootstrapfit.Rd b/man/plot.bootstrapfit.Rd index 28ff959e7..4077dbc2b 100644 --- a/man/plot.bootstrapfit.Rd +++ b/man/plot.bootstrapfit.Rd @@ -4,9 +4,9 @@ \alias{plot.bootstrapfit} \title{Plot a bootstrap NLS fit} \usage{ -\method{plot}{bootstrapfit}(x, ..., col.line = "black", - col.band = "gray", opacity.band = 0.65, lty = c(1), lwd = c(1), - supports = 1000, plot.range, error = sd) +\method{plot}{bootstrapfit}(x, ..., col.line = "black", col.band = "gray", + opacity.band = 0.65, lty = c(1), lwd = c(1), supports = 1000, + plot.range, error = sd) } \arguments{ \item{x}{object returned by \code{bootstrap.nlsfit}} @@ -38,13 +38,14 @@ schemes this might need to be changed.} Plot a bootstrap NLS fit } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/plot.cf.Rd b/man/plot.cf.Rd index 1e72cca8e..3a763d2c8 100644 --- a/man/plot.cf.Rd +++ b/man/plot.cf.Rd @@ -4,8 +4,7 @@ \alias{plot.cf} \title{Plot a correlation function} \usage{ -\method{plot}{cf}(x, neg.vec = rep(1, times = length(cf$cf0)), - rep = FALSE, ...) +\method{plot}{cf}(x, neg.vec = rep(1, times = length(cf$cf0)), rep = FALSE, ...) } \arguments{ \item{x}{\code{cf_boot} object} diff --git a/man/plot_timeseries.Rd b/man/plot_timeseries.Rd index 265604c6b..283ce3926 100644 --- a/man/plot_timeseries.Rd +++ b/man/plot_timeseries.Rd @@ -5,10 +5,9 @@ \title{plot_timeseries} \usage{ plot_timeseries(dat, ylab, plotsize, titletext, hist.by, stat_range, - pdf.filename, name = "", xlab = "$t_\\\\mathrm{MD}$", - hist.probs = c(0, 1), errorband_color = rgb(0.6, 0, 0, 0.6), - type = "l", uwerr.S = 2, periodogram = FALSE, debug = FALSE, - uw.summary = TRUE, ...) + pdf.filename, name = "", xlab = "$t_\\\\mathrm{MD}$", hist.probs = c(0, + 1), errorband_color = rgb(0.6, 0, 0, 0.6), type = "l", uwerr.S = 2, + periodogram = FALSE, debug = FALSE, uw.summary = TRUE, ...) } \arguments{ \item{dat}{Timeseries to analyse.} diff --git a/man/print.bootstrapfit.Rd b/man/print.bootstrapfit.Rd index 1caeab65c..34846b4b2 100644 --- a/man/print.bootstrapfit.Rd +++ b/man/print.bootstrapfit.Rd @@ -17,13 +17,14 @@ Print a bootstrap NLS fit } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{simple.nlsfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{simple.nlsfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/raw_cf.Rd b/man/raw_cf.Rd index e062124c5..bffcd6dce 100644 --- a/man/raw_cf.Rd +++ b/man/raw_cf.Rd @@ -15,7 +15,8 @@ Arithmetic operations are defined for this class and utility functions such as \code{is.raw_cf} and \code{is_empty.raw_cf}. } \seealso{ -Other raw_cf constructors: \code{\link{raw_cf_data}}, - \code{\link{raw_cf_meta}} +Other raw_cf constructors: +\code{\link{raw_cf_data}()}, +\code{\link{raw_cf_meta}()} } \concept{raw_cf constructors} diff --git a/man/raw_cf_data.Rd b/man/raw_cf_data.Rd index 7cd7c417f..aa2154372 100644 --- a/man/raw_cf_data.Rd +++ b/man/raw_cf_data.Rd @@ -19,7 +19,8 @@ container more easily.} Original data mixin constructor for \code{raw_cf} } \seealso{ -Other raw_cf constructors: \code{\link{raw_cf_meta}}, - \code{\link{raw_cf}} +Other raw_cf constructors: +\code{\link{raw_cf_meta}()}, +\code{\link{raw_cf}()} } \concept{raw_cf constructors} diff --git a/man/raw_cf_meta.Rd b/man/raw_cf_meta.Rd index e131f4bf8..654ed7eb6 100644 --- a/man/raw_cf_meta.Rd +++ b/man/raw_cf_meta.Rd @@ -25,7 +25,8 @@ For a scalar correlation, this should be specified as \code{c(1,1)}.} \code{raw_cf} metadata mixin constructor } \seealso{ -Other raw_cf constructors: \code{\link{raw_cf_data}}, - \code{\link{raw_cf}} +Other raw_cf constructors: +\code{\link{raw_cf_data}()}, +\code{\link{raw_cf}()} } \concept{raw_cf constructors} diff --git a/man/removeTemporal.cf.Rd b/man/removeTemporal.cf.Rd new file mode 100644 index 000000000..16c3d22d8 --- /dev/null +++ b/man/removeTemporal.cf.Rd @@ -0,0 +1,34 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/removeTemporal.cf.R +\name{removeTemporal.cf} +\alias{removeTemporal.cf} +\title{Remove Thermal States by Weighting and Shifting} +\usage{ +removeTemporal.cf(cf, single.cf1, single.cf2, p1 = c(0, 0, 0), p2 = c(0, 0, + 0), L, lat.disp = TRUE, weight.cosh = FALSE) +} +\arguments{ +\item{cf}{Object of type \link{cf}} + +\item{single.cf1}{Object of type \link{cf}} + +\item{single.cf2}{Object of type \link{cf}} + +\item{p1}{Numeric vector. Spatial momentum of first state} + +\item{p2}{Numeric vector. Spatial momentum of second state} + +\item{L}{Integer. Spatial lattice extend.} + +\item{lat.disp}{Boolean. Use lattice dispersion relation instead of +continuum one} + +\item{weight.cosh}{Boolean. Use cosh functional form in the +weighting procedure} +} +\value{ +weighted and shifted correlation function as a \link{cf} object. +} +\description{ +Remove Thermal States by Weighting and Shifting +} diff --git a/man/simple.nlsfit.Rd b/man/simple.nlsfit.Rd index eea5c99f8..78a6ae212 100644 --- a/man/simple.nlsfit.Rd +++ b/man/simple.nlsfit.Rd @@ -5,14 +5,14 @@ \title{NLS fit with without bootstrap} \usage{ simple.nlsfit(fn, par.guess, y, x, errormodel, ..., dy, dx, CovMatrix, - boot.R = 0, gr, dfn, use.minpack.lm = TRUE, error = sd, - maxiter = 500, success_infos = 1:3, relative.weights = FALSE) + boot.R = 0, gr, dfn, use.minpack.lm = TRUE, error = sd, maxiter = 500, + success.infos = 1:3, relative.weights = FALSE, na.rm = FALSE) } \arguments{ \item{fn}{\code{fn(par, x, ...)}. The (non-linear) function to be fitted to the data. Its first argument must be the fit parameters named \code{par}. The second must be \code{x}, the explaining variable. Additional parameters -might be passed to the function. Currently we pass \code{boot_r} which is \code{0} +might be passed to the function. Currently we pass \code{boot.r} which is \code{0} for the original data and the ID (1, ...) of the bootstrap sample otherwise. As more parameters might be added in the future it is recommended that the fit function accepts \code{...} as the last parameter to be forward compatible.} @@ -46,7 +46,9 @@ is given.} \item{CovMatrix}{complete variance-covariance matrix of dimensions \code{c(length(y), length(y))} or \code{c(length(y)+length(x), -length(y)+length(x))} depending on the errormodel.} +length(y)+length(x))} depending on the errormodel. Pass \code{NULL} if the matrix +has to be calculated from the \code{bsamples}. If missing, uncorrelated fit will +be used.} \item{boot.R}{If larger than 0, \code{boot.R} paramtetric bootstrap samples are generated on the fit results after fit and error calculation are finished. @@ -71,7 +73,7 @@ methods like jackknife.} \item{maxiter}{integer. Maximum number of iterations that can be used in the optimization process.} -\item{success_infos}{integer vector. When using \code{minpack.lm} there is the +\item{success.infos}{integer vector. When using \code{minpack.lm} there is the \code{info} in the return value. Values of 1, 2 or 3 are certain success. A value of 4 could either be a success or a saddle point. If you want to interpret this as a success as well just pass \code{1:4} instead of the default \code{1:3}.} @@ -80,6 +82,9 @@ this as a success as well just pass \code{1:4} instead of the default \code{1:3} relative weights instead of absolute ones? If TRUE, the covariance martix of the fit parameter results is multiplied by chi^2/dof. This is the default in many fit programs, e.g. gnuplot.} + +\item{na.rm}{logical. If set to \code{true}, NAs in \code{y} and \code{dy} will be ignored. +If x-errors are taken into account, NAs in \code{x} and \code{dx} will be ignored, too.} } \description{ NLS fit with without bootstrap @@ -97,13 +102,14 @@ fit.result <- simple.nlsfit(fn, c(1, 1), value, x, "xyerrors", dy=dvalue, dx=dx) summary(fit.result) } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{summary.bootstrapfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{summary.bootstrapfit}()} } \concept{NLS fit functions} diff --git a/man/summary.bootstrapfit.Rd b/man/summary.bootstrapfit.Rd index c8644b609..9d9c3d632 100644 --- a/man/summary.bootstrapfit.Rd +++ b/man/summary.bootstrapfit.Rd @@ -4,8 +4,7 @@ \alias{summary.bootstrapfit} \title{Summarize a bootstrap NLS fit} \usage{ -\method{summary}{bootstrapfit}(object, ..., digits = 2, - print.correlation = TRUE) +\method{summary}{bootstrapfit}(object, ..., digits = 2, print.correlation = TRUE) } \arguments{ \item{object}{object returned by \code{bootstrap.nlsfit}} @@ -21,13 +20,14 @@ the fit parameters.} Summarize a bootstrap NLS fit } \seealso{ -Other NLS fit functions: \code{\link{bootstrap.nlsfit}}, - \code{\link{parametric.bootstrap.cov}}, - \code{\link{parametric.bootstrap}}, - \code{\link{parametric.nlsfit.cov}}, - \code{\link{parametric.nlsfit}}, - \code{\link{plot.bootstrapfit}}, - \code{\link{print.bootstrapfit}}, - \code{\link{simple.nlsfit}} +Other NLS fit functions: +\code{\link{bootstrap.nlsfit}()}, +\code{\link{parametric.bootstrap.cov}()}, +\code{\link{parametric.bootstrap}()}, +\code{\link{parametric.nlsfit.cov}()}, +\code{\link{parametric.nlsfit}()}, +\code{\link{plot.bootstrapfit}()}, +\code{\link{print.bootstrapfit}()}, +\code{\link{simple.nlsfit}()} } \concept{NLS fit functions} diff --git a/man/weight.cf.Rd b/man/weight.cf.Rd new file mode 100644 index 000000000..47514f534 --- /dev/null +++ b/man/weight.cf.Rd @@ -0,0 +1,31 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/removeTemporal.cf.R +\name{weight.cf} +\alias{weight.cf} +\title{Weight a correlation function} +\usage{ +weight.cf(cf, energy_difference_val, energy_difference_boot, cosh_factor, + offset = 0, inverse = FALSE) +} +\arguments{ +\item{cf}{cf_orig and possibly cf_boot object.} + +\item{energy_difference_val}{numeric. A single energy value \eqn{\Delta E}{Delta E} for +the weighting.} + +\item{energy_difference_boot}{numeric vector. Samples for the energy +difference value.} + +\item{cosh_factor}{integer, either \code{+1} or \code{-1}. Determines the sign $c$ in +the weight factor.} + +\item{offset}{integer. Offset for the time $t$, needed for the reweighting +after a shift.} + +\item{inverse}{boolean. If \code{TRUE} apply inverse weight.} +} +\description{ +Weights a correlation function with the given energy difference \eqn{\Delta E}{Delta E} +such that the function is first multiplied with +\eqn{\exp(\Delta E t) + c \exp(\Delta E \cdot (T - t)}{exp(Delta E t) + c exp(Delta E(T-t))}. +} diff --git a/man/weight_shift_reweight.cf.Rd b/man/weight_shift_reweight.cf.Rd new file mode 100644 index 000000000..e17c77fc9 --- /dev/null +++ b/man/weight_shift_reweight.cf.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/removeTemporal.cf.R +\name{weight_shift_reweight.cf} +\alias{weight_shift_reweight.cf} +\title{Weight-shift-reweight a correlation function} +\usage{ +weight_shift_reweight.cf(cf, energy_difference_val, energy_difference_boot, + cosh_factor) +} +\arguments{ +\item{cf}{cf_orig and possibly cf_boot object.} + +\item{energy_difference_val}{numeric. A single energy value \eqn{\Delta E}{Delta E} for +the weighting.} + +\item{energy_difference_boot}{numeric vector. Samples for the energy +difference value.} + +\item{cosh_factor}{integer, either \code{+1} or \code{-1}. Determines the sign $c$ in +the weight factor.} +} +\description{ +The correlation function is weighted with \code{\link{weight.cf}}, then shifted, and +then weighted again with the inverse weighting factor. +} diff --git a/src/RcppExports.cpp b/src/RcppExports.cpp index 513e52f8b..d5703f3e6 100644 --- a/src/RcppExports.cpp +++ b/src/RcppExports.cpp @@ -28,11 +28,11 @@ RcppExport SEXP LuscherZetaArray(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, static const R_CallMethodDef CallEntries[] = { {"_hadron_read_nissa_textcf_kernel", (DL_FUNC) &_hadron_read_nissa_textcf_kernel, 4}, - {"alphas", (DL_FUNC) &alphas, 5}, - {"cdh_c", (DL_FUNC) &cdh_c, 13}, - {"cdhnew_c", (DL_FUNC) &cdhnew_c, 11}, - {"invcosh", (DL_FUNC) &invcosh, 5}, - {"LuscherZetaArray", (DL_FUNC) &LuscherZetaArray, 9}, + {"alphas", (DL_FUNC) &alphas, 5}, + {"cdh_c", (DL_FUNC) &cdh_c, 13}, + {"cdhnew_c", (DL_FUNC) &cdhnew_c, 11}, + {"invcosh", (DL_FUNC) &invcosh, 5}, + {"LuscherZetaArray", (DL_FUNC) &LuscherZetaArray, 9}, {NULL, NULL, 0} }; diff --git a/tests/testthat/test_removeTemporal.R b/tests/testthat/test_removeTemporal.R index 202e7954f..f514a6fe9 100644 --- a/tests/testthat/test_removeTemporal.R +++ b/tests/testthat/test_removeTemporal.R @@ -6,9 +6,12 @@ test_that('equality', { fit1 <- matrixfit(corr_boot, 10, 20) fit2 <- matrixfit(corr_boot, 4, 9) + + corr_rt <- old_removeTemporal.cf(corr_boot, fit1, fit2, L = 24, weight.cosh = FALSE) + new_corr_rt <- removeTemporal.cf(corr_boot, fit1, fit2, L = 24, weight.cosh = FALSE) + expect_equal(corr_rt, new_corr_rt) - corr_rt <- old_removeTemporal.cf(corr_boot, fit1, fit2, weight.cosh = TRUE) - new_corr_rt <- removeTemporal.cf(corr_boot, fit1, fit2, weight.cosh = TRUE) - + corr_rt <- old_removeTemporal.cf(corr_boot, fit1, fit2, L = 24, weight.cosh = TRUE) + new_corr_rt <- removeTemporal.cf(corr_boot, fit1, fit2, L = 24, weight.cosh = TRUE) expect_equal(corr_rt, new_corr_rt) }) diff --git a/vignettes/jackknife_cov_and_missing_values.Rmd b/vignettes/jackknife_cov_and_missing_values.Rmd index 4442d7b44..1756d5b13 100644 --- a/vignettes/jackknife_cov_and_missing_values.Rmd +++ b/vignettes/jackknife_cov_and_missing_values.Rmd @@ -9,8 +9,8 @@ vignette: > \usepackage[utf8]{inputenc} --- -```{r} -devtools::load_all() +```{r echo=FALSE} +library(hadron) ``` # Missing column From 4140e6eba9d95fd70a34454797f265280208c814 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 10:56:54 +0100 Subject: [PATCH 48/85] trying to fix conflicts --- man/cf_shifted.Rd | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/man/cf_shifted.Rd b/man/cf_shifted.Rd index 26adfacaa..715885139 100644 --- a/man/cf_shifted.Rd +++ b/man/cf_shifted.Rd @@ -31,6 +31,7 @@ Other cf constructors: \code{\link{cf_smeared}()}, \code{\link{cf_subtracted}()}, \code{\link{cf_weighted}()}, -\code{\link{cf}()} +\code{\link{cf}()}, +\code{\link{rw_meta}()} } \concept{cf constructors} From 6d6d7ae9e2973fe4b3b7d70059f504453eea8941 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 11:03:48 +0100 Subject: [PATCH 49/85] trying to correct conflicts --- R/rw.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index 09b96a596..b89b5c5e8 100644 --- a/R/rw.R +++ b/R/rw.R @@ -23,7 +23,7 @@ rw <- function () { #' @param .rw `rw` object to extend. #' @param conf.index list of Integers, containing the index of gauge configurations #' -#' @family cf constructors +#' @family rw constructors #' #' @export rw_meta <- function (.rw = rw(), conf.index ) { From 4f9111ea9dddd04b3ee57cb4ec28390d46d74c96 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 11:06:29 +0100 Subject: [PATCH 50/85] trying to fix conflicts --- DESCRIPTION | 2 +- man/cf_shifted.Rd | 3 +-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 9ae1706bf..452b72ea2 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -39,7 +39,7 @@ URL: https://github.com/urbach/hadron BugReports: https://github.com/urbach/hadron/issues LazyData: true Roxygen: list(markdown = TRUE, old_usage = TRUE, r6 = FALSE) -RoxygenNote: 7.0.0 +RoxygenNote: 7.0.1 Encoding: UTF-8 Remotes: bioc::release/rhdf5 VignetteBuilder: knitr diff --git a/man/cf_shifted.Rd b/man/cf_shifted.Rd index 715885139..26adfacaa 100644 --- a/man/cf_shifted.Rd +++ b/man/cf_shifted.Rd @@ -31,7 +31,6 @@ Other cf constructors: \code{\link{cf_smeared}()}, \code{\link{cf_subtracted}()}, \code{\link{cf_weighted}()}, -\code{\link{cf}()}, -\code{\link{rw_meta}()} +\code{\link{cf}()} } \concept{cf constructors} From 266da59ca9319a4d5b467a7032190be7a3613902 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 11:29:39 +0100 Subject: [PATCH 51/85] resolving conflicts again --- DESCRIPTION | 2 +- man/cfrw_boot.Rd | 49 ------------------------------------------------ man/foldr1.Rd | 2 +- man/rw.Rd | 4 ++++ man/rw_meta.Rd | 10 +++------- man/times-.cf.Rd | 14 -------------- 6 files changed, 9 insertions(+), 72 deletions(-) delete mode 100644 man/cfrw_boot.Rd delete mode 100644 man/times-.cf.Rd diff --git a/DESCRIPTION b/DESCRIPTION index 9ae1706bf..452b72ea2 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -39,7 +39,7 @@ URL: https://github.com/urbach/hadron BugReports: https://github.com/urbach/hadron/issues LazyData: true Roxygen: list(markdown = TRUE, old_usage = TRUE, r6 = FALSE) -RoxygenNote: 7.0.0 +RoxygenNote: 7.0.1 Encoding: UTF-8 Remotes: bioc::release/rhdf5 VignetteBuilder: knitr diff --git a/man/cfrw_boot.Rd b/man/cfrw_boot.Rd deleted file mode 100644 index 5105308b6..000000000 --- a/man/cfrw_boot.Rd +++ /dev/null @@ -1,49 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/cf.R -\name{cfrw_boot} -\alias{cfrw_boot} -\title{Bootstrapped reweighted CF mixin constructor} -\usage{ -cfrw_boot(.cf = cf(), boot.R, boot.l, seed, sim, cf.tsboot, rwcf.tsboot, - rw.tsboot, resampling_method = "bootstrap") -} -\arguments{ -\item{.cf}{\code{cf} object to extend.} - -\item{boot.R}{Integer, number of bootstrap samples used.} - -\item{boot.l}{Integer, block length in the time-series bootstrap process.} - -\item{seed}{Integer, random number generator seed used in bootstrap.} - -\item{sim}{Character, \code{sim} argument of \link[boot]{tsboot}.} - -\item{cf.tsboot}{List, result from the \link[boot]{tsboot} function.} - -\item{rwcf.tsboot}{List, result from the \link[boot]{tsboot} function.} - -\item{rw.tsboot}{List, result from the \link[boot]{tsboot} function.} - -\item{resampling_method}{Character, either 'bootstrap' or 'jackknife'} -} -\description{ -Bootstrapped reweighted CF mixin constructor -} -\details{ -The following fields will also be made available: -\itemize{ -\item \code{cf0}: Numeric vector, mean value of reweighted original measurements: /. -\item \code{tsboot.se}: Numeric vector, standard deviation over bootstrap samples. -\item \code{boot.samples}: Logical, indicating whether there are bootstrap samples available. This is deprecated and instead the presence of bootstrap samples should be queried with \code{inherits(cf, 'cf_boot')}. -\item \code{error_fn}: Function, takes a vector of samples and computes the error. In the bootstrap case this is just the \code{sd} function. Use this function instead of a \code{sd} in order to make the code compatible with jackknife samples. -} -} -\seealso{ -Other cf constructors: \code{\link{cf_boot}}, - \code{\link{cf_meta}}, \code{\link{cf_orig}}, - \code{\link{cf_principal_correlator}}, - \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}}, \code{\link{rw_meta}} -} -\concept{cf constructors} diff --git a/man/foldr1.Rd b/man/foldr1.Rd index db02e2e4f..e37fe7f5a 100644 --- a/man/foldr1.Rd +++ b/man/foldr1.Rd @@ -7,7 +7,7 @@ foldr1(f, xs) } \arguments{ -\item{f}{\verb{function}. A binary function that takes two elements of the type +\item{f}{\code{function}. A binary function that takes two elements of the type contained in \code{xs} and returns another such element.} \item{xs}{\code{list} or vector. Homogenious list or vector of elements. diff --git a/man/rw.Rd b/man/rw.Rd index 7f08e0a09..e10d93009 100644 --- a/man/rw.Rd +++ b/man/rw.Rd @@ -17,4 +17,8 @@ as well as for increasing statistics and \link{is.rw}. \details{ #' } +\seealso{ +Other rw constructors: +\code{\link{rw_meta}()} +} \concept{rw constructors} diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd index 9055cf9c3..87355847d 100644 --- a/man/rw_meta.Rd +++ b/man/rw_meta.Rd @@ -15,11 +15,7 @@ rw_meta(.rw = rw(), conf.index) rw metadata mixin constructor } \seealso{ -Other cf constructors: \code{\link{cf_boot}}, - \code{\link{cf_meta}}, \code{\link{cf_orig}}, - \code{\link{cf_principal_correlator}}, - \code{\link{cf_shifted}}, \code{\link{cf_smeared}}, - \code{\link{cf_subtracted}}, \code{\link{cf_weighted}}, - \code{\link{cf}} +Other rw constructors: +\code{\link{rw}()} } -\concept{cf constructors} +\concept{rw constructors} diff --git a/man/times-.cf.Rd b/man/times-.cf.Rd deleted file mode 100644 index 606e09322..000000000 --- a/man/times-.cf.Rd +++ /dev/null @@ -1,14 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{*.cf} -\alias{*.cf} -\title{Arithmetically multiply reweighting factors} -\usage{ -\method{*}{cf}(rw1, rw2) -} -\arguments{ -\item{rw1, rw2}{\code{rw_orig} objects.} -} -\description{ -Arithmetically multiply reweighting factors -} From 603f17765a9b4e204676efd75e42a0c02687b3de Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 11:35:40 +0100 Subject: [PATCH 52/85] resolve intergration error --- R/rw.R | 13 +++++++------ man/addStat.rw.Rd | 13 +++++++------ 2 files changed, 14 insertions(+), 12 deletions(-) diff --git a/R/rw.R b/R/rw.R index b89b5c5e8..34856eac9 100644 --- a/R/rw.R +++ b/R/rw.R @@ -183,14 +183,15 @@ plot.rw <- function(x, rep = FALSE, ...) { #' @param reverse2 `boolean` #' #' @examples -#' Suppose we have reweighting factors in replicum A from 0 to 500 -#' in steps of 4 and in replicum B from 4 to 500 in steps of 4. -#' To combined the two replicas we have to use +#' # Suppose we have reweighting factors in replicum A from 0 to 500 +#' # in steps of 4 and in replicum B from 4 to 500 in steps of 4. +#' # To combined the two replicas we have to use #' #' addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) -#' which means -#' combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. -#' rw500 from A) +#' +#' # which means +#' # combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. +#' # rw500 from A) #' @export addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd index 02de74aca..f5b6fd23b 100644 --- a/man/addStat.rw.Rd +++ b/man/addStat.rw.Rd @@ -22,12 +22,13 @@ to be reversed.} Combine reweighting factors from different replicas } \examples{ -Suppose we have reweighting factors in replicum A from 0 to 500 -in steps of 4 and in replicum B from 4 to 500 in steps of 4. -To combined the two replicas we have to use +# Suppose we have reweighting factors in replicum A from 0 to 500 +# in steps of 4 and in replicum B from 4 to 500 in steps of 4. +# To combined the two replicas we have to use addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) -which means -combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. -rw500 from A) + +# which means +# combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. +# rw500 from A) } From a714c5149712698b1eadfe4c0b23c9d792658401 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 12:00:20 +0100 Subject: [PATCH 53/85] adding errors in plotting the reweighting factors --- R/rw.R | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index 34856eac9..9738ca1a1 100644 --- a/R/rw.R +++ b/R/rw.R @@ -141,6 +141,7 @@ is.rw <- function (x) { inherits(x, "rw") } +meanval <- function(d, w) {return(mean(d$rw[w]))} #' Plot a reweighting factor function #' @@ -160,8 +161,13 @@ plot.rw <- function(x, rep = FALSE, ...) { colneg <- rep("black",times=length(rw$rw)) colneg[negs] <- "red" +# Estimating the statistical error on the reweighting factor + + rw_boot <- boot(rw, meanval, R=1500) + rw_error <- sd(rw_boot) + val <- rw$rw/mean(rw$rw) - err <- rep(x=0,length(rw$rw)) + err <- rep(x=rw_error,length(rw$rw)) df <- data.frame(t = c(1:length(val)), CF = val, From ea0b6e669a482ae038f3ffeedec874fbb46014fd Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 12:01:02 +0100 Subject: [PATCH 54/85] changing back to roxygen700 --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 452b72ea2..9ae1706bf 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -39,7 +39,7 @@ URL: https://github.com/urbach/hadron BugReports: https://github.com/urbach/hadron/issues LazyData: true Roxygen: list(markdown = TRUE, old_usage = TRUE, r6 = FALSE) -RoxygenNote: 7.0.1 +RoxygenNote: 7.0.0 Encoding: UTF-8 Remotes: bioc::release/rhdf5 VignetteBuilder: knitr From b43b5d3ed1096e45bea2bde2e62af67c437c2d9b Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 12:01:52 +0100 Subject: [PATCH 55/85] fixing conflicts --- man/foldr1.Rd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/man/foldr1.Rd b/man/foldr1.Rd index e37fe7f5a..db02e2e4f 100644 --- a/man/foldr1.Rd +++ b/man/foldr1.Rd @@ -7,7 +7,7 @@ foldr1(f, xs) } \arguments{ -\item{f}{\code{function}. A binary function that takes two elements of the type +\item{f}{\verb{function}. A binary function that takes two elements of the type contained in \code{xs} and returns another such element.} \item{xs}{\code{list} or vector. Homogenious list or vector of elements. From aa378e97aa62123b8781ae0bee4dcdfee4fc9c7e Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 12:30:08 +0100 Subject: [PATCH 56/85] resolving integration test further --- R/rw.R | 2 +- man/addStat.rw.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/rw.R b/R/rw.R index 9738ca1a1..1be37888b 100644 --- a/R/rw.R +++ b/R/rw.R @@ -193,7 +193,7 @@ plot.rw <- function(x, rep = FALSE, ...) { #' # in steps of 4 and in replicum B from 4 to 500 in steps of 4. #' # To combined the two replicas we have to use #' -#' addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) +#' #addStat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) #' #' # which means #' # combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd index f5b6fd23b..4f95fb383 100644 --- a/man/addStat.rw.Rd +++ b/man/addStat.rw.Rd @@ -26,7 +26,7 @@ Combine reweighting factors from different replicas # in steps of 4 and in replicum B from 4 to 500 in steps of 4. # To combined the two replicas we have to use -addstat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) +#addStat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) # which means # combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. From 71bbeb86d78c35530e6333d84d3af0130c1a8cfc Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 26 Nov 2019 16:14:42 +0100 Subject: [PATCH 57/85] Removing str --- R/cf.R | 1 - 1 file changed, 1 deletion(-) diff --git a/R/cf.R b/R/cf.R index 9bb3f98a9..96a7e52f7 100644 --- a/R/cf.R +++ b/R/cf.R @@ -716,7 +716,6 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { if (reverse1 == TRUE){ apply(cf1_temp,2,rev) if ( has_icf(cf1)){ - str(cf1$icf) apply(icf1_temp,2,rev) } } From 530a0827b581382a62abec284bb36d5cf5df5e55 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 23 Dec 2019 17:01:28 +0100 Subject: [PATCH 58/85] read.table instead of readcmidatafiles --- R/cf.R | 8 ++++---- R/readutils.R | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/R/cf.R b/R/cf.R index 96a7e52f7..5826aa024 100644 --- a/R/cf.R +++ b/R/cf.R @@ -714,17 +714,17 @@ addStat.cf <- function(cf1, cf2,reverse1=FALSE, reverse2=FALSE) { cf1_temp<- cf1$cf icf1_temp <- cf1$icf if (reverse1 == TRUE){ - apply(cf1_temp,2,rev) + cf1_temp <- apply(cf1_temp,2,rev) if ( has_icf(cf1)){ - apply(icf1_temp,2,rev) + icf1_temp <- apply(icf1_temp,2,rev) } } cf2_temp <- cf2$cf icf2_temp <- cf2$icf if (reverse2 == TRUE){ - apply(cf2_temp,2,rev) + cf2_temp <- apply(cf2_temp,2,rev) if ( has_icf(cf2)){ - apply(icf2_temp,2,rev) + icf2_temp <- apply(icf2_temp,2,rev) } } if (inherits(cf1, 'cf_indexed')){ diff --git a/R/readutils.R b/R/readutils.R index f9610f590..ab2bc2524 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -356,7 +356,7 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id { stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) - tmp <- readcmidatafiles(files=file_names_to_read,skip=0,verbose=TRUE,colClasses=c("integer","integer","numeric","numeric","numeric","numeric","numeric")) + tmp <- read.table(file=file_names_to_read) names(tmp)[1] <- "monomialid" names(tmp)[2] <- "stochastic_index" names(tmp)[3] <- "kappa_target" From b32a9d51dd8e54a14aac76de53918ef6612d4597 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 23 Dec 2019 23:50:10 +0100 Subject: [PATCH 59/85] computing the error from stochastic samples on each gauge configuration --- R/rw.R | 39 +++++++++++++++++++++++++++++++++++---- 1 file changed, 35 insertions(+), 4 deletions(-) diff --git a/R/rw.R b/R/rw.R index 1be37888b..6a79fc1da 100644 --- a/R/rw.R +++ b/R/rw.R @@ -36,13 +36,23 @@ rw_meta <- function (.rw = rw(), conf.index ) { } +#' rw metadata mixin constructor +#' +#' @param .rw `rw` object to extend. +#' @param conf.index list of Integers, containing the index of gauge configurations +#' @param max_value value used to be for normalization +#' @param stochastic_error error coming from the stochastic samples for each gauge conf +#' @family rw constructors +#' #' @export -rw_orig <- function (.rw = rw(), rw, conf.index, max_value) { +rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) { stopifnot(inherits(.rw, 'rw')) .rw$rw <- rw .rw$max_value <- max_value .rw$conf.index <- conf.index + .rw$stochastic_error <- stochastic_error + class(.rw) <- append(class(.rw), 'rw_orig') class(.rw) <- append(class(.rw), 'rw_meta') @@ -60,6 +70,8 @@ rw_unit <- function (.rw = rw(), conf.index) { .rw$conf.index <- conf.index .rw$rw <- rep(1.0,length(conf.index)) .rw$max_value <- 1.0 + #unit rw factor does not have error from the stochastic samples + .rw$stochastic_error <- rep(0.0, length(conf.index)) class(.rw) <- append(class(.rw), 'rw_orig') class(.rw) <- append(class(.rw), 'rw_meta') @@ -116,6 +128,11 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { rw$max_value <- NA rw$conf.index <- rw1$conf.index + #the stochastic error of the product of reweighting factors + #this is approximately rw1*d(rw2)+rw2*d(rw1) + rw$stochastic_error <- abs(nf1*rw1$rw*rw2$stochastic_error) + + abs(nf2*rw2$rw*rw1$stochastic_error) + class(rw) <- append(class(rw), 'rw_orig') class(rw) <- append(class(rw), 'rw_meta') @@ -163,11 +180,9 @@ plot.rw <- function(x, rep = FALSE, ...) { # Estimating the statistical error on the reweighting factor - rw_boot <- boot(rw, meanval, R=1500) - rw_error <- sd(rw_boot) val <- rw$rw/mean(rw$rw) - err <- rep(x=rw_error,length(rw$rw)) + err <- rw$stochastic_error df <- data.frame(t = c(1:length(val)), CF = val, @@ -225,25 +240,41 @@ addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { if (reverse1 == TRUE){ rw_1 <- rev(rw1$rw) conf_1 <- rev(rw1$conf.index) + stochastic_error_1 <- rev(rw1$stochastic_error) } else{ rw_1 <- rw1$rw conf_1 <- rw1$conf.index + stochastic_error_1 <- rw1$stochastic_error } if (reverse2 == TRUE){ rw_2 <- rev(rw2$rw) conf_2 <- rev(rw2$conf.index) + stochastic_error_2 <- rev(rw2$stochastic_error) } else{ rw_2 <- rw2$rw conf_2 <- rw2$conf.index + stochastic_error_2 <- rw2$stochastic_error } + + #Restore the proper normalization rw_1 <- rw_1*rw1$max_value rw_2 <- rw_2*rw2$max_value + stochastic_error_1 <- stochastic_error_1*max_value + stochastic_error_2 <- stochastic_error_2*max_value + rw$rw <- c(rw_1, rw_2) + rw$stochastic_error <- c(stochastic_error_1, stochastic_error_2) + + #New normalization max_value <- max(rw$rw) + + #Apply the new normalization rw$rw <- rw$rw/max_value + rw$stochastic_error <- rw$stochastic_error/max_value + rw$conf.index <- c(conf_1, conf_2) rw$max_value <- max_value From 54f47d9b2a69d1dbf054e1eabd8cdbf12916c9ce Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 24 Dec 2019 00:18:08 +0100 Subject: [PATCH 60/85] Aborting, when there is not an apprioriate monomial id in source file --- R/readutils.R | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/R/readutils.R b/R/readutils.R index ab2bc2524..2f0ca3233 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -371,6 +371,9 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id stopifnot(dplyr_avail) tmp <- dplyr::filter(tmp,monomialid==monomial_id) + if (nrow(tmp) == 0){ + stop("read.rw, there is no monomial.id in reweighting data file, aborting...\n") + } # Number of reweighted determinants for each gauge configuration @@ -382,13 +385,14 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id tmp2 <- matrix(tmp$reweightingfactor,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) tmp3 <- apply(exp(-tmp2),2,mean) + tmp4 <- sqrt(apply(exp(-2*tmp2),2,mean)-tmp3^2)/sqrt(nsamples-1)/max(tmp3) # Normalize the largest reweighting factor to be one and storing this factor # this is neccessary due to the large value of the reweighting factor # after exponentiating tmp4 <- tmp3/max(tmp3) - ret <- rw_orig(ret, rw = tmp4, conf.index=gauge_conf_list, max_value = max(tmp3)) + ret <- rw_orig(ret, rw = tmp4, conf.index=gauge_conf_list, max_value = max(tmp3), stochastic_error=tmp4) } #' @title reader for Nissa text format correlation functions From 0c3ece7ee2c12998c041418edd0737eaf3a27882 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 24 Dec 2019 00:25:35 +0100 Subject: [PATCH 61/85] some comments for multiplying reweighting factors --- R/rw.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/R/rw.R b/R/rw.R index 6a79fc1da..ef973f408 100644 --- a/R/rw.R +++ b/R/rw.R @@ -121,6 +121,9 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { stopifnot(inherits(rw1, 'rw_meta')) stopifnot(inherits(rw2, 'rw_meta')) + #We can multiply reweighting factors, only if + #we have the same set of gauge configuration + #for both rw factors stopifnot(identical( rw1$conf.index, rw2$conf.index )) rw <- rw() From f36f656e183e103dd2dca8cb43995f23f1d04a3d Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 24 Dec 2019 00:44:42 +0100 Subject: [PATCH 62/85] stop explicitely, when dplyr is not available --- R/readutils.R | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 2f0ca3233..1e35dbf3c 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -368,8 +368,10 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id # Select the reweighting factor for a particular monomial dplyr_avail <- requireNamespace("dplyr") - stopifnot(dplyr_avail) - + if( !dplyr_avail ){ + stop("read.rw, The 'dplyr' package is required to use this function!\n") + } + tmp <- dplyr::filter(tmp,monomialid==monomial_id) if (nrow(tmp) == 0){ stop("read.rw, there is no monomial.id in reweighting data file, aborting...\n") From c6af0925af029a3ed525bfa7c31ca335c3f4825b Mon Sep 17 00:00:00 2001 From: pittlerf Date: Tue, 24 Dec 2019 00:51:48 +0100 Subject: [PATCH 63/85] updating docu files --- man/rw.Rd | 3 ++- man/rw_meta.Rd | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/man/rw.Rd b/man/rw.Rd index e10d93009..cd071376f 100644 --- a/man/rw.Rd +++ b/man/rw.Rd @@ -19,6 +19,7 @@ as well as for increasing statistics and \link{is.rw}. } \seealso{ Other rw constructors: -\code{\link{rw_meta}()} +\code{\link{rw_meta}()}, +\code{\link{rw_orig}()} } \concept{rw constructors} diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd index 87355847d..937f2a463 100644 --- a/man/rw_meta.Rd +++ b/man/rw_meta.Rd @@ -16,6 +16,7 @@ rw metadata mixin constructor } \seealso{ Other rw constructors: +\code{\link{rw_orig}()}, \code{\link{rw}()} } \concept{rw constructors} From 75367e6d2046c3ee3c10d6380aa0f0f06232b05a Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 27 Dec 2019 23:25:29 +0100 Subject: [PATCH 64/85] typo corrected --- R/readutils.R | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/R/readutils.R b/R/readutils.R index 1e35dbf3c..58f59063c 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -347,7 +347,7 @@ readtextcf <- function(file, T=48, sym=TRUE, path="", skip=1, check.t=0, ind.vec return (invisible(ret)) } -#' @title reading reweighting factors for a list of gauge configuration +#' @title reading reweighting factors from a list of gauge configurations #' and random samples from ASCII files #' @param file_names_to_read list of filenames for the reweighting factors #' @param gauge_conf_list <- a list of integers with the indices of the gauge configs @@ -387,14 +387,18 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id tmp2 <- matrix(tmp$reweightingfactor,nrow=nsamples,ncol=length(gauge_conf_list)*n_rew_factors) tmp3 <- apply(exp(-tmp2),2,mean) - tmp4 <- sqrt(apply(exp(-2*tmp2),2,mean)-tmp3^2)/sqrt(nsamples-1)/max(tmp3) + +# Determine the standard error for each gauge configuration over the +# stochastic samples + + tmp5 <- sqrt(apply(exp(-2*tmp2),2,mean)-tmp3^2)/sqrt(nsamples-1)/max(tmp3) # Normalize the largest reweighting factor to be one and storing this factor # this is neccessary due to the large value of the reweighting factor # after exponentiating tmp4 <- tmp3/max(tmp3) - ret <- rw_orig(ret, rw = tmp4, conf.index=gauge_conf_list, max_value = max(tmp3), stochastic_error=tmp4) + ret <- rw_orig(ret, rw = tmp4, conf.index=gauge_conf_list, max_value = max(tmp3), stochastic_error=tmp5) } #' @title reader for Nissa text format correlation functions From 60bdf878ac084846b32d927b401e4da80a7493d9 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Fri, 27 Dec 2019 23:53:56 +0100 Subject: [PATCH 65/85] some update --- R/rw.R | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/R/rw.R b/R/rw.R index ef973f408..b41f95feb 100644 --- a/R/rw.R +++ b/R/rw.R @@ -4,8 +4,9 @@ #' of class `rw`. This class is particularly designed to store reweighting #' factors for each gauge configuration, that can be applied on #' correlation functions emerging in statistical and quantum field theory -#' simulations. Multiplication operation is defined for this class, -#' as well as for increasing statistics and \link{is.rw}. +#' simulations. Note that the reweighting factors acts on bare cf objects +#' and not on bootstrapped correlation function. Multiplication operation +#' is defined for this class, as well as increasing statistics and \link{is.rw}. #' #' @details #'#' @@ -161,7 +162,6 @@ is.rw <- function (x) { inherits(x, "rw") } -meanval <- function(d, w) {return(mean(d$rw[w]))} #' Plot a reweighting factor function #' @@ -181,9 +181,6 @@ plot.rw <- function(x, rep = FALSE, ...) { colneg <- rep("black",times=length(rw$rw)) colneg[negs] <- "red" -# Estimating the statistical error on the reweighting factor - - val <- rw$rw/mean(rw$rw) err <- rw$stochastic_error From c848a72a97ac62ec2727b4426306bccd20ce4d84 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 09:54:04 +0100 Subject: [PATCH 66/85] some comments added --- R/cf.R | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/R/cf.R b/R/cf.R index 5826aa024..65d46a185 100644 --- a/R/cf.R +++ b/R/cf.R @@ -377,6 +377,9 @@ gen.block.array <- function(n, R, l, endcorr=TRUE) { } #' Computes the samples for reweighted correlation function +#' Note that the reweighting procedure can be applied only once +#' a given correlation function, after applying we invalidate +#' cf_orig #' #' @param cf `cf` object. #' @param rw `rw` object. @@ -395,8 +398,10 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", ##We should also check that the cf object and the rw object contains the same gauge configurations - stopifnot(rw$conf.index == cf$conf.index) - + if (all(cf$conf.index != rw$conf.index)){ + stop("bootstrap_rw.cf: Gauge conf used for cf and rw do not match, please check them") + } + stopifnot( nrow(cf$cf) == length(rw$conf.index) ) boot.l <- ceiling(boot.l) @@ -436,7 +441,8 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", boot.l = boot.l, seed = seed, sim = sim, - cf.tsboot = rwcf.tsboot) + cf.tsboot = rwcf.tsboot, + resampling_method= "bootstrap") class(cf) <- append(class(cf), 'cfrw_boot') @@ -559,7 +565,9 @@ jackknife_rw.cf <- function(cf, rw, boot.l = 1) { stopifnot(inherits(rw, 'rw_meta')) stopifnot(inherits(cf, 'cf_indexed')) - stopifnot(rw1$conf.index == rw2$conf.index) + if (all(cf$conf.index != rw$conf.index)){ + stop("jackknife_rw.cf: Gauge conf used for cf and rw do not match, please check them") + } ##We should also check that the cf object and the rw object contains the same gauge configurations From 235d3182ea2a5fa63ec6b4e4e864ddd309ed32e1 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 09:56:16 +0100 Subject: [PATCH 67/85] documentation updated --- man/bootstrap_rw.cf.Rd | 8 +++++++- man/read.rw.Rd | 4 ++-- man/rw.Rd | 5 +++-- 3 files changed, 12 insertions(+), 5 deletions(-) diff --git a/man/bootstrap_rw.cf.Rd b/man/bootstrap_rw.cf.Rd index 744b6393e..e474cc2c6 100644 --- a/man/bootstrap_rw.cf.Rd +++ b/man/bootstrap_rw.cf.Rd @@ -2,7 +2,10 @@ % Please edit documentation in R/cf.R \name{bootstrap_rw.cf} \alias{bootstrap_rw.cf} -\title{Computes the samples for reweighted correlation function} +\title{Computes the samples for reweighted correlation function +Note that the reweighting procedure can be applied only once +a given correlation function, after applying we invalidate +cf_orig} \usage{ bootstrap_rw.cf(cf, rw, boot.R = 400, boot.l = 2, seed = 1234, sim = "geom", endcorr = TRUE) @@ -24,4 +27,7 @@ bootstrap_rw.cf(cf, rw, boot.R = 400, boot.l = 2, seed = 1234, } \description{ Computes the samples for reweighted correlation function +Note that the reweighting procedure can be applied only once +a given correlation function, after applying we invalidate +cf_orig } diff --git a/man/read.rw.Rd b/man/read.rw.Rd index 2bfe67888..d74bb507e 100644 --- a/man/read.rw.Rd +++ b/man/read.rw.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/readutils.R \name{read.rw} \alias{read.rw} -\title{reading reweighting factors for a list of gauge configuration +\title{reading reweighting factors from a list of gauge configurations and random samples from ASCII files} \usage{ read.rw(file_names_to_read, gauge_conf_list, nsamples, monomial_id) @@ -15,6 +15,6 @@ read.rw(file_names_to_read, gauge_conf_list, nsamples, monomial_id) \item{nsamples}{number of stochastic samples used for computing the reweighting factors} } \description{ -reading reweighting factors for a list of gauge configuration +reading reweighting factors from a list of gauge configurations and random samples from ASCII files } diff --git a/man/rw.Rd b/man/rw.Rd index cd071376f..9a36e22d9 100644 --- a/man/rw.Rd +++ b/man/rw.Rd @@ -11,8 +11,9 @@ This function \code{rw()} creates containers for reweighting factors of class \code{rw}. This class is particularly designed to store reweighting factors for each gauge configuration, that can be applied on correlation functions emerging in statistical and quantum field theory -simulations. Multiplication operation is defined for this class, -as well as for increasing statistics and \link{is.rw}. +simulations. Note that the reweighting factors acts on bare cf objects +and not on bootstrapped correlation function. Multiplication operation +is defined for this class, as well as increasing statistics and \link{is.rw}. } \details{ #' From 300b289fbfc324cb2bb526cf3a2ffd53d66cd877 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 10:27:08 +0100 Subject: [PATCH 68/85] documentation updated --- R/rw.R | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/R/rw.R b/R/rw.R index b41f95feb..a59fa36c9 100644 --- a/R/rw.R +++ b/R/rw.R @@ -97,14 +97,16 @@ is_empty.rw <- function (.rw) { #' Arithmetically multiplies two reweighting factors #' #' @param rw1,rw2 `rw_orig` objects to be muplitplied -#' @param nf1,nf2 Integer. Factors that determines the number of flavours we -#' have for reweighting factor 1 and 2, the default value is 1, because -#' usually we compute the reweighting factors for Q: the product of -#' up and down or strange and charm determinant, there are no additional -#' terms in the sea determinant that have to be reweighted with the same -#' rw factor. In case we compute the rw1 factor only for the up quark, we -#' for example, we have to set nf1=2 to obtain the rw factor -#' for the light determinant. +#' @param nf1,nf2 Integer. It is greater than one, when +#' we want to apply for more flavours than we have +#' actually computed. For example in case of nf=4 +#' degenerate light quarks, we compute the reweighting +#' factor for two using Q=D*D^dagger, and we actually want +#' to apply it for all the four flavours, so we have to +#' choose in this case nf1=2,nf2=2 +#' Note that in the process of multiplication we do not take +#' care of the normalization of the reweighting objects, since +#' it will drop out, when applying it to a correlation function. #' #' @return #' The value is From f49b15669e9961cdc61fbcb4a8b47881ede2c941 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 10:33:27 +0100 Subject: [PATCH 69/85] documentation updated --- R/cf.R | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/R/cf.R b/R/cf.R index 65d46a185..769ab774c 100644 --- a/R/cf.R +++ b/R/cf.R @@ -380,6 +380,8 @@ gen.block.array <- function(n, R, l, endcorr=TRUE) { #' Note that the reweighting procedure can be applied only once #' a given correlation function, after applying we invalidate #' cf_orig +#' Note constant rw-s correspond to unit transformation +#' independently of their absolute values. #' #' @param cf `cf` object. #' @param rw `rw` object. @@ -554,6 +556,11 @@ jackknife.cf <- function(cf, boot.l = 1) { } #' Computes the jackknife samples for reweighted correlation function +#' Note that the reweighting procedure can be applied only once +#' a given correlation function, after applying we invalidate +#' cf_orig +#' Note constant rw-s correspond to unit transformation +#' independently of their absolute values. #' #' @param cf `cf` object. #' @param rw `rw` object. From 95ca6dc5c18f5b890bf0b15ee1f65078f7dc93d3 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 12:59:08 +0100 Subject: [PATCH 70/85] simple tests for reweighting: apply randomly generated factors and its inverse, and check for unitarity --- data/datalist | 2 ++ data/samplerw.RData | Bin 0 -> 7938 bytes data/samplerw_inverse.RData | Bin 0 -> 7940 bytes tests/testthat/test_rewfactor.R | 19 +++++++++++++++++++ 4 files changed, 21 insertions(+) create mode 100644 data/samplerw.RData create mode 100644 data/samplerw_inverse.RData create mode 100644 tests/testthat/test_rewfactor.R diff --git a/data/datalist b/data/datalist index 3e93d2116..65543f7ce 100644 --- a/data/datalist +++ b/data/datalist @@ -2,3 +2,5 @@ plaq.sample pscor.sample samplecf correlatormatrix +samplerw +samplerw_inverse diff --git a/data/samplerw.RData b/data/samplerw.RData new file mode 100644 index 0000000000000000000000000000000000000000..9208d24b75211c8e7fc317e5e7b7452490e7395f GIT binary patch literal 7938 zcmV+dAN}ATiwFP!000001MQr7R84RH_tPj-DH@e#l_HJiccMZfWk{ydpgAg%Au_8d zL{gHm$q-!sNDBxs9=XZS|H;P5c-t^eay@l76K-v1mM{lAX?_w%2Beez$I zU>*NTwQV`8{-pElSPf307wHG)7#S4{sx3%HN?F6BN5 z{v0*aj`_)8L}EAkqs?4Jj(rdNa7EvMDy(*w52T=Be)9O#GQqEr8xfjRa;A%4;! 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It was +generated by Gaussian rng with mean = 1 and sd = 0.1. +We also store its inverse as samplerw_inverse in order to checked +that apply rw and its inverse one after another do not have any +effect at all on a correlation function. +} +\usage{data("samplerw")} +\format{ +The format is: +List of 4 + $ conf.index : int [1:1018] 0 1 2 3 4 5 6 7 8 9 ... + $ rw : num [1:1018] 0.862 0.716 0.729 0.786 0.777 ... + $ max_value : num 1.41 + $ stochastic_error: num [1:1018] 0 0 0 0 0 0 0 0 0 0 ... + - attr(*, "class")= chr [1:6] "list" "rw" "rw_meta" "rw_orig" . +} +%%\details{ +%% ~~ If necessary, more details than the __description__ above ~~ +%%} +%%\source{ +%% ~~ reference to a publication or URL from which the data were obtained ~~ +%%} +%%\references{ +%% ~~ possibly secondary sources and usages ~~ +%%} +\examples{ +data(samplerw) +plot(samplerw) +} +\keyword{datasets} From 607a131a1186339728079284fc7e9cd3f5a78222 Mon Sep 17 00:00:00 2001 From: pittlerf Date: Mon, 30 Dec 2019 13:15:18 +0100 Subject: [PATCH 72/85] documentation updated --- man/bootstrap_rw.cf.Rd | 6 +++++- man/jackknife_rw.cf.Rd | 12 +++++++++++- man/multiply.rw.Rd | 18 ++++++++++-------- 3 files changed, 26 insertions(+), 10 deletions(-) diff --git a/man/bootstrap_rw.cf.Rd b/man/bootstrap_rw.cf.Rd index e474cc2c6..f062b22d4 100644 --- a/man/bootstrap_rw.cf.Rd +++ b/man/bootstrap_rw.cf.Rd @@ -5,7 +5,9 @@ \title{Computes the samples for reweighted correlation function Note that the reweighting procedure can be applied only once a given correlation function, after applying we invalidate -cf_orig} +cf_orig +Note constant rw-s correspond to unit transformation +independently of their absolute values.} \usage{ bootstrap_rw.cf(cf, rw, boot.R = 400, boot.l = 2, seed = 1234, sim = "geom", endcorr = TRUE) @@ -30,4 +32,6 @@ Computes the samples for reweighted correlation function Note that the reweighting procedure can be applied only once a given correlation function, after applying we invalidate cf_orig +Note constant rw-s correspond to unit transformation +independently of their absolute values. } diff --git a/man/jackknife_rw.cf.Rd b/man/jackknife_rw.cf.Rd index 652a5c9ad..439708ae4 100644 --- a/man/jackknife_rw.cf.Rd +++ b/man/jackknife_rw.cf.Rd @@ -2,7 +2,12 @@ % Please edit documentation in R/cf.R \name{jackknife_rw.cf} \alias{jackknife_rw.cf} -\title{Computes the jackknife samples for reweighted correlation function} +\title{Computes the jackknife samples for reweighted correlation function +Note that the reweighting procedure can be applied only once +a given correlation function, after applying we invalidate +cf_orig +Note constant rw-s correspond to unit transformation +independently of their absolute values.} \usage{ jackknife_rw.cf(cf, rw, boot.l = 1) } @@ -15,4 +20,9 @@ jackknife_rw.cf(cf, rw, boot.l = 1) } \description{ Computes the jackknife samples for reweighted correlation function +Note that the reweighting procedure can be applied only once +a given correlation function, after applying we invalidate +cf_orig +Note constant rw-s correspond to unit transformation +independently of their absolute values. } diff --git a/man/multiply.rw.Rd b/man/multiply.rw.Rd index 738d73c4f..e1dda9dd0 100644 --- a/man/multiply.rw.Rd +++ b/man/multiply.rw.Rd @@ -9,14 +9,16 @@ multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) \arguments{ \item{rw1, rw2}{\code{rw_orig} objects to be muplitplied} -\item{nf1, nf2}{Integer. Factors that determines the number of flavours we -have for reweighting factor 1 and 2, the default value is 1, because -usually we compute the reweighting factors for Q: the product of -up and down or strange and charm determinant, there are no additional -terms in the sea determinant that have to be reweighted with the same -rw factor. In case we compute the rw1 factor only for the up quark, we -for example, we have to set nf1=2 to obtain the rw factor -for the light determinant.} +\item{nf1, nf2}{Integer. It is greater than one, when +we want to apply for more flavours than we have +actually computed. For example in case of nf=4 +degenerate light quarks, we compute the reweighting +factor for two using Q=D*D^dagger, and we actually want +to apply it for all the four flavours, so we have to +choose in this case nf1=2,nf2=2 +Note that in the process of multiplication we do not take +care of the normalization of the reweighting objects, since +it will drop out, when applying it to a correlation function.} } \value{ The value is From 04b99ed01d161dc0c10473bc5899d25a6deff043 Mon Sep 17 00:00:00 2001 From: Martin Ueding Date: Tue, 7 Jan 2020 13:08:19 +0100 Subject: [PATCH 73/85] Also delete generated documentation herre --- man/addStat.rw.Rd | 34 ---------------------------------- man/bootstrap_rw.cf.Rd | 37 ------------------------------------- man/is.rw.Rd | 14 -------------- man/is_empty.rw.Rd | 19 ------------------- man/jackknife_rw.cf.Rd | 28 ---------------------------- man/multiply.rw.Rd | 29 ----------------------------- man/plot.rw.Rd | 16 ---------------- man/read.rw.Rd | 20 -------------------- man/rw.Rd | 26 -------------------------- man/rw_meta.Rd | 22 ---------------------- 10 files changed, 245 deletions(-) delete mode 100644 man/addStat.rw.Rd delete mode 100644 man/bootstrap_rw.cf.Rd delete mode 100644 man/is.rw.Rd delete mode 100644 man/is_empty.rw.Rd delete mode 100644 man/jackknife_rw.cf.Rd delete mode 100644 man/multiply.rw.Rd delete mode 100644 man/plot.rw.Rd delete mode 100644 man/read.rw.Rd delete mode 100644 man/rw.Rd delete mode 100644 man/rw_meta.Rd diff --git a/man/addStat.rw.Rd b/man/addStat.rw.Rd deleted file mode 100644 index 4f95fb383..000000000 --- a/man/addStat.rw.Rd +++ /dev/null @@ -1,34 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{addStat.rw} -\alias{addStat.rw} -\title{Combine reweighting factors from different replicas} -\usage{ -addStat.rw(rw1, rw2, reverse1 = FALSE, reverse2 = FALSE) -} -\arguments{ -\item{rw1}{\code{rw} object: reweighting factor for replicum A} - -\item{rw2}{\code{cf} object: reweighting factor for replicum B} - -\item{reverse1}{\code{boolean} After the bifurcation point one of -the replicas (chain of reweighting -factors in simulation time) has -to be reversed.} - -\item{reverse2}{\code{boolean}} -} -\description{ -Combine reweighting factors from different replicas -} -\examples{ -# Suppose we have reweighting factors in replicum A from 0 to 500 -# in steps of 4 and in replicum B from 4 to 500 in steps of 4. -# To combined the two replicas we have to use - -#addStat.rw(rw_replicumB, rw_replicumA, TRUE, FALSE) - -# which means -# combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. -# rw500 from A) -} diff --git a/man/bootstrap_rw.cf.Rd b/man/bootstrap_rw.cf.Rd deleted file mode 100644 index f062b22d4..000000000 --- a/man/bootstrap_rw.cf.Rd +++ /dev/null @@ -1,37 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/cf.R -\name{bootstrap_rw.cf} -\alias{bootstrap_rw.cf} -\title{Computes the samples for reweighted correlation function -Note that the reweighting procedure can be applied only once -a given correlation function, after applying we invalidate -cf_orig -Note constant rw-s correspond to unit transformation -independently of their absolute values.} -\usage{ -bootstrap_rw.cf(cf, rw, boot.R = 400, boot.l = 2, seed = 1234, - sim = "geom", endcorr = TRUE) -} -\arguments{ -\item{cf}{\code{cf} object.} - -\item{rw}{\code{rw} object.} - -\item{boot.R}{Integer} - -\item{boot.l}{Integer} - -\item{seed}{Integer} - -\item{sim}{string} - -\item{endcorr}{boolean} -} -\description{ -Computes the samples for reweighted correlation function -Note that the reweighting procedure can be applied only once -a given correlation function, after applying we invalidate -cf_orig -Note constant rw-s correspond to unit transformation -independently of their absolute values. -} diff --git a/man/is.rw.Rd b/man/is.rw.Rd deleted file mode 100644 index 920a5b710..000000000 --- a/man/is.rw.Rd +++ /dev/null @@ -1,14 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{is.rw} -\alias{is.rw} -\title{Checks whether an object is a rw} -\usage{ -is.rw(x) -} -\arguments{ -\item{x}{Object, possibly of class \code{rw}.} -} -\description{ -Checks whether an object is a rw -} diff --git a/man/is_empty.rw.Rd b/man/is_empty.rw.Rd deleted file mode 100644 index a042e80cb..000000000 --- a/man/is_empty.rw.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{is_empty.rw} -\alias{is_empty.rw} -\title{Checks whether the cf object contains no data} -\usage{ -is_empty.rw(.rw) -} -\arguments{ -\item{.rw}{\code{rw} object.} -} -\description{ -Checks whether the cf object contains no data -} -\examples{ -# The empty rw object must be empty: -is_empty.rw(rw()) - -} diff --git a/man/jackknife_rw.cf.Rd b/man/jackknife_rw.cf.Rd deleted file mode 100644 index 439708ae4..000000000 --- a/man/jackknife_rw.cf.Rd +++ /dev/null @@ -1,28 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/cf.R -\name{jackknife_rw.cf} -\alias{jackknife_rw.cf} -\title{Computes the jackknife samples for reweighted correlation function -Note that the reweighting procedure can be applied only once -a given correlation function, after applying we invalidate -cf_orig -Note constant rw-s correspond to unit transformation -independently of their absolute values.} -\usage{ -jackknife_rw.cf(cf, rw, boot.l = 1) -} -\arguments{ -\item{cf}{\code{cf} object.} - -\item{rw}{\code{rw} object.} - -\item{boot.l}{Integer} -} -\description{ -Computes the jackknife samples for reweighted correlation function -Note that the reweighting procedure can be applied only once -a given correlation function, after applying we invalidate -cf_orig -Note constant rw-s correspond to unit transformation -independently of their absolute values. -} diff --git a/man/multiply.rw.Rd b/man/multiply.rw.Rd deleted file mode 100644 index e1dda9dd0..000000000 --- a/man/multiply.rw.Rd +++ /dev/null @@ -1,29 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{multiply.rw} -\alias{multiply.rw} -\title{Arithmetically multiplies two reweighting factors} -\usage{ -multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) -} -\arguments{ -\item{rw1, rw2}{\code{rw_orig} objects to be muplitplied} - -\item{nf1, nf2}{Integer. It is greater than one, when -we want to apply for more flavours than we have -actually computed. For example in case of nf=4 -degenerate light quarks, we compute the reweighting -factor for two using Q=D*D^dagger, and we actually want -to apply it for all the four flavours, so we have to -choose in this case nf1=2,nf2=2 -Note that in the process of multiplication we do not take -care of the normalization of the reweighting objects, since -it will drop out, when applying it to a correlation function.} -} -\value{ -The value is -\deqn{rw_1*nf1*rw_2*nf2) \,.} -} -\description{ -Arithmetically multiplies two reweighting factors -} diff --git a/man/plot.rw.Rd b/man/plot.rw.Rd deleted file mode 100644 index 3a07701e8..000000000 --- a/man/plot.rw.Rd +++ /dev/null @@ -1,16 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{plot.rw} -\alias{plot.rw} -\title{Plot a reweighting factor function} -\usage{ -\method{plot}{rw}(x, rep = FALSE, ...) -} -\arguments{ -\item{x}{\code{rw} object} - -\item{rep}{See \code{\link{plotwitherror}}.} -} -\description{ -Plot a reweighting factor function -} diff --git a/man/read.rw.Rd b/man/read.rw.Rd deleted file mode 100644 index d74bb507e..000000000 --- a/man/read.rw.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/readutils.R -\name{read.rw} -\alias{read.rw} -\title{reading reweighting factors from a list of gauge configurations -and random samples from ASCII files} -\usage{ -read.rw(file_names_to_read, gauge_conf_list, nsamples, monomial_id) -} -\arguments{ -\item{file_names_to_read}{list of filenames for the reweighting factors} - -\item{gauge_conf_list}{<- a list of integers with the indices of the gauge configs} - -\item{nsamples}{number of stochastic samples used for computing the reweighting factors} -} -\description{ -reading reweighting factors from a list of gauge configurations -and random samples from ASCII files -} diff --git a/man/rw.Rd b/man/rw.Rd deleted file mode 100644 index 9a36e22d9..000000000 --- a/man/rw.Rd +++ /dev/null @@ -1,26 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{rw} -\alias{rw} -\title{Reweighting factor container} -\usage{ -rw() -} -\description{ -This function \code{rw()} creates containers for reweighting factors -of class \code{rw}. This class is particularly designed to store reweighting -factors for each gauge configuration, that can be applied on -correlation functions emerging in statistical and quantum field theory -simulations. Note that the reweighting factors acts on bare cf objects -and not on bootstrapped correlation function. Multiplication operation -is defined for this class, as well as increasing statistics and \link{is.rw}. -} -\details{ -#' -} -\seealso{ -Other rw constructors: -\code{\link{rw_meta}()}, -\code{\link{rw_orig}()} -} -\concept{rw constructors} diff --git a/man/rw_meta.Rd b/man/rw_meta.Rd deleted file mode 100644 index 937f2a463..000000000 --- a/man/rw_meta.Rd +++ /dev/null @@ -1,22 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/rw.R -\name{rw_meta} -\alias{rw_meta} -\title{rw metadata mixin constructor} -\usage{ -rw_meta(.rw = rw(), conf.index) -} -\arguments{ -\item{.rw}{\code{rw} object to extend.} - -\item{conf.index}{list of Integers, containing the index of gauge configurations} -} -\description{ -rw metadata mixin constructor -} -\seealso{ -Other rw constructors: -\code{\link{rw_orig}()}, -\code{\link{rw}()} -} -\concept{rw constructors} From 69b0f2a3fe3ce44277c898c29397d85a929c8699 Mon Sep 17 00:00:00 2001 From: Carsten Urbach Date: Fri, 9 Apr 2021 11:44:39 +0200 Subject: [PATCH 74/85] Rd files no longer in repo --- man/addStat.cf.Rd | 40 ---------------------------------------- man/samplerw.Rd | 37 ------------------------------------- 2 files changed, 77 deletions(-) delete mode 100644 man/addStat.cf.Rd delete mode 100644 man/samplerw.Rd diff --git a/man/addStat.cf.Rd b/man/addStat.cf.Rd deleted file mode 100644 index d8b4cb8c7..000000000 --- a/man/addStat.cf.Rd +++ /dev/null @@ -1,40 +0,0 @@ -\name{addStat.cf} -\alias{addStat.cf} -\title{Combine statistics of two cf objects} -\description{ - \code{addStat.cf} takes the raw data of two \code{cf} objects and - combines them into one. -} -\usage{ -addStat.cf(cf1, cf2, reverse1, reverse2) -} -\arguments{ - \item{cf1}{ - the first of the two \code{cf} objects to be combined - } - \item{cf2}{ - the second of the two \code{cf} objects to be combined - } - \item{reverse1}{ - the first of the two object should be reversed if TRUE - } - \item{reverse2}{ - the second of the two object should be reversed if TRUE - } -} -\value{ - an object of class \code{cf} with the statistics of the two input - \code{cf} objects combined -} -\details{ - Note that the two \code{cf} objects to be combined need to be - compatible. Otherwise, \code{addStat.cf} will abort with an error. -} -\seealso{ - \code{\link{cf}} -} -\examples{ -\dontrun{cf0 <- addStat(cf1=cf1, cf2=cf2)} -} -\author{Carsten Urbach, \email{curbach@gmx.de},Ferenc Pittler \email{pittler@hiskp.uni-bonn.de}} -\keyword{correlation function} diff --git a/man/samplerw.Rd b/man/samplerw.Rd deleted file mode 100644 index 1deaae30d..000000000 --- a/man/samplerw.Rd +++ /dev/null @@ -1,37 +0,0 @@ -\name{samplerw} -\alias{samplerw} -\docType{data} -\title{ -Sample rw data -} -\description{ -Sample data for reweighting factors suited for samplecf. It was -generated by Gaussian rng with mean = 1 and sd = 0.1. -We also store its inverse as samplerw_inverse in order to checked -that apply rw and its inverse one after another do not have any -effect at all on a correlation function. -} -\usage{data("samplerw")} -\format{ -The format is: -List of 4 - $ conf.index : int [1:1018] 0 1 2 3 4 5 6 7 8 9 ... - $ rw : num [1:1018] 0.862 0.716 0.729 0.786 0.777 ... - $ max_value : num 1.41 - $ stochastic_error: num [1:1018] 0 0 0 0 0 0 0 0 0 0 ... - - attr(*, "class")= chr [1:6] "list" "rw" "rw_meta" "rw_orig" . -} -%%\details{ -%% ~~ If necessary, more details than the __description__ above ~~ -%%} -%%\source{ -%% ~~ reference to a publication or URL from which the data were obtained ~~ -%%} -%%\references{ -%% ~~ possibly secondary sources and usages ~~ -%%} -\examples{ -data(samplerw) -plot(samplerw) -} -\keyword{datasets} From 9553a557e43fb0ff41f40b43d8b05101534520b2 Mon Sep 17 00:00:00 2001 From: Carsten Urbach Date: Fri, 9 Apr 2021 14:34:39 +0200 Subject: [PATCH 75/85] add missing export --- R/rw.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index a59fa36c9..7efcb5e3f 100644 --- a/R/rw.R +++ b/R/rw.R @@ -9,7 +9,7 @@ #' is defined for this class, as well as increasing statistics and \link{is.rw}. #' #' @details -#'#' +#' #' @family rw constructors #' #' @export @@ -88,6 +88,7 @@ rw_unit <- function (.rw = rw(), conf.index) { #' # The empty rw object must be empty: #' is_empty.rw(rw()) #' +#' @export is_empty.rw <- function (.rw) { setequal(class(.rw), class(rw())) && is.null(names(.rw)) From 540a1d2d4c19659013f6a03657bc4fc40311b993 Mon Sep 17 00:00:00 2001 From: Carsten Urbach Date: Fri, 9 Apr 2021 15:11:27 +0200 Subject: [PATCH 76/85] further fixes --- DESCRIPTION | 1 - R/hadron-package.R | 33 +++++++++++++++++++++++++++++++++ R/readutils.R | 4 ++++ R/rw.R | 40 ++++++++++++++++++++++++++++++---------- 4 files changed, 67 insertions(+), 11 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 2f64adf2d..ac23a1570 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -55,7 +55,6 @@ Description: Toolkit to perform statistical analyses of correlation ) are implemented. In addition, input/output and plotting routines are available. Imports: - dplyr, abind, boot, dplyr, diff --git a/R/hadron-package.R b/R/hadron-package.R index aed1c9ff9..ba112ea6f 100644 --- a/R/hadron-package.R +++ b/R/hadron-package.R @@ -35,6 +35,39 @@ NULL #' NULL +#' Sample rw data +#' +#' @description +#' Sample data for reweighting coefficients +#' +#' @name samplerw +#' +#' @docType data +#' @format list of 4 elements: "conf.index" "rw" "max_value" "stochastic_error" +#' @keywords datasets +#' @examples +#' +#' data("samplerw") +#' +NULL + +#' Sample inverse rw data +#' +#' @description +#' Sample data for inverse reweighting coefficients +#' +#' @name samplerw_inverse +#' +#' @docType data +#' @format list of 4 elements: "conf.index" "rw" "max_value" "stochastic_error" +#' @keywords datasets +#' @examples +#' +#' data("samplerw_inverse") +#' +NULL + + #' Internal Hadron Functions #' #' Internal hadron functions diff --git a/R/readutils.R b/R/readutils.R index 974c5f049..8431e90cd 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -663,11 +663,15 @@ readtextcf <- function(file, Time=48, sym=TRUE, path="", skip=1, check.t=0, ind. return (invisible(ret)) } + #' @title reading reweighting factors from a list of gauge configurations #' and random samples from ASCII files #' @param file_names_to_read list of filenames for the reweighting factors #' @param gauge_conf_list <- a list of integers with the indices of the gauge configs #' @param nsamples number of stochastic samples used for computing the reweighting factors +#' @param monomial_id integer ID of the monomial +#' +#' @export read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id ) { stopifnot(length(gauge_conf_list)==length(file_names_to_read)) diff --git a/R/rw.R b/R/rw.R index 7efcb5e3f..b2d86c47e 100644 --- a/R/rw.R +++ b/R/rw.R @@ -1,5 +1,6 @@ #' Reweighting factor container #' +#' @details #' This function `rw()` creates containers for reweighting factors #' of class `rw`. This class is particularly designed to store reweighting #' factors for each gauge configuration, that can be applied on @@ -8,12 +9,13 @@ #' and not on bootstrapped correlation function. Multiplication operation #' is defined for this class, as well as increasing statistics and \link{is.rw}. #' -#' @details -#' #' @family rw constructors #' +#' @examples +#' x <- rw() +#' #' @export -rw <- function () { +rw <- function() { rw <- list() class(rw) <- append(class(rw), 'rw') return (rw) @@ -40,6 +42,7 @@ rw_meta <- function (.rw = rw(), conf.index ) { #' rw metadata mixin constructor #' #' @param .rw `rw` object to extend. +#' @param rw vector of reweighting factors #' @param conf.index list of Integers, containing the index of gauge configurations #' @param max_value value used to be for normalization #' @param stochastic_error error coming from the stochastic samples for each gauge conf @@ -64,6 +67,19 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) { return (.rw) } +#' rw_unit +#' +#' generates an 'rw' object with all elements set to 1. +#' +#' @param .rw an object of class 'rw' +#' @param conf.index integer vector of configuration indices +#' +#' @return +#' an object of class 'rw' with all elements equal to unity +#' +#' @examples +#' x <- rw_unit(conf.index=c(1,2,3,4)) +#' #' @export rw_unit <- function (.rw = rw(), conf.index) { stopifnot(inherits(.rw, 'rw')) @@ -148,11 +164,12 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { #' Arithmetically multiply reweighting factors #' -#' @param rw1,rw2 `rw_orig` objects. +#' @param rw1 `rw_orig` object +#' @param rw2 `rw_orig` object #' #' @export '*.rw' <- function (rw1, rw2) { - multiply.rw(cf1, cf2, nf1 = 1, nf2 = 1) + multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) } @@ -160,6 +177,10 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { #' #' @param x Object, possibly of class `rw`. #' +#' @examples +#' x <- c() +#' is.rw(x) +#' #' @export is.rw <- function (x) { inherits(x, "rw") @@ -169,12 +190,11 @@ is.rw <- function (x) { #' Plot a reweighting factor function #' #' @param x `rw` object +#' @param ... Generic graphical parameter to be passed on to \link{plotwitherror} #' @param rep See \code{\link{plotwitherror}}. #' -#' @inheritParams plotwitherror -#' #' @export -plot.rw <- function(x, rep = FALSE, ...) { +plot.rw <- function(x, ..., rep = FALSE) { rw <- x stopifnot(inherits(rw, 'rw')) negs <- which(rw$rw < 0) @@ -204,7 +224,7 @@ plot.rw <- function(x, rep = FALSE, ...) { #' the replicas (chain of reweighting #' factors in simulation time) has #' to be reversed. -#' @param reverse2 `boolean` +#' @param reverse2 `boolean`, see 'reverse1' #' #' @examples #' # Suppose we have reweighting factors in replicum A from 0 to 500 @@ -217,7 +237,7 @@ plot.rw <- function(x, rep = FALSE, ...) { #' # combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. #' # rw500 from A) #' @export -addStat.rw <- function(rw1, rw2,reverse1=FALSE, reverse2=FALSE) { +addStat.rw <- function(rw1, rw2, reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) stopifnot(inherits(rw2, 'rw')) From 039d134a5f1b4c3a1386b4ba1f0dc209fc54671a Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Sun, 11 Apr 2021 18:20:22 +0300 Subject: [PATCH 77/85] How to vignette for reweighting process --- vignettes/reweighting.Rmd | 140 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 140 insertions(+) create mode 100644 vignettes/reweighting.Rmd diff --git a/vignettes/reweighting.Rmd b/vignettes/reweighting.Rmd new file mode 100644 index 000000000..7ce887d5f --- /dev/null +++ b/vignettes/reweighting.Rmd @@ -0,0 +1,140 @@ +--- +title: "Reweighting for correlation functions" +author: "Ferenc Pittler" +output: + rmarkdown::html_vignette +#pdf_document: +# #citation_package: biblatex +# toc: yes + +#bibliography: gevp.bib +#link_citation: yes +vignette: > + %\VignetteIndexEntry{Reweighting for correlation functions} + %\VignetteEngine{knitr::rmarkdown} + \usepackage[utf8]{inputenc} +--- + +```{r echo=FALSE} +library(knitr) +library(hadron) +``` +# Definition of reweighting factors + +The configurations produced in lattice simulation +have the Boltzmann weight $e^{-S_g}D_f$ with: + +$$ +D_f(\kappa,\mu_l,m_s,m_c)=\mathrm{det}[D_l^2(\kappa,\mu_l)]\mathrm{det}[D_{ND}(\kappa,m_s,m_c)], +$$ +where $D_l$ and $D_{ND}$ is the light and non-degenerate twisted mass Wilson Dirac operator respectively, $\kappa$ is related to the bare quark mass and determined by the condition of maximal-twist, $\mu_l,\mu_s,\mu_c$ are the twisted quark masses. + + +To compute for example the pion correlation function we compute + +$$ +C(t)=\langle \mathrm{Tr}\left(D_lD_l^{\dagger}(\kappa,\mu_l)\right)^{-1}(t,t_{src})\rangle, +$$ +where the average $\langle\rangle$ is taken with +respect to the Boltzmann measure defined above and the trace is taken in Dirac, Color and spatial indices. + +The way we organize the computation is to first produce configurations and then compute various correlation functions as measurements. In case we want to change slightly the mass parameters we have to + +1. Change $\kappa$,$\mu_l$ is the correlation function (cheap) + +2. Change $\kappa$,$\mu_l$ in the Boltzmann weight (expensive). + +To avoid generating brand-new configurations we estimate the following ratios of determinants called the reweighting factor: + +$$ +R(\kappa,\mu_l,\tilde{\kappa},\mu_l,\tilde{\mu_l}) += +1/\mathrm{det}[ +D_l^{\dagger}(\kappa,\mu_l) +\left(D_l(\tilde{\kappa},\tilde{\mu_l}) + D_l(\tilde{\kappa},\tilde{\mu_l})^{\dagger}\right)^{-1} +D_l(\kappa,\mu_l) +] +$$ +from parameter set $\kappa,\mu_l$ to ${\tilde \kappa},{\tilde \mu_l}$. + +The $R$ factor can be computed stochastically using the tmLQCD software package. + +# Apply reweighting factors to correlation functions + +The aim is to compute for example the pion correlator at the parameter set ${\tilde \kappa},{\tilde \mu_l}$ using ensembles of configurations at $\kappa, \mu_l$. As an input we need + +1. Pion correlator at ${\tilde \kappa},{\tilde \mu_l}$ on the configurations with parameters $\kappa, \mu_l$. + +2. The stochastically computed reweighting factor R + +The application of the reweighting factor proceeds in the following way: + +$$ +C_{rew}=\langle{\mathcal O} +\left({\tilde \kappa},{\tilde \mu_l}\right) +\rangle_{{\tilde \kappa},{\tilde \mu_l}}= +\langle{\mathcal O}\left({\tilde \kappa},{\tilde \mu_l}\right)R\rangle_{\kappa,\mu_l}/ +\langle R\rangle_{\kappa,\mu_l}, +$$ + +where ${\mathcal O}$ is the pion correlator for a given gauge configuration. + +# Data Type `rw` for Correlation Functions + +`hadron` provides a class for reweighting factors, which +is called `rw`. There is a routine called `read.rw`, which +reads in the reweighting factors produced using the `tmLQCD` +code package in a simple text format. + +# Producing reweighted correlation function + + +1. Step: + +Reading reweighting factors for a particular set of gauge +configurations and monomial ids (represents the light doublet or non-degenerate heavy-doublet Dirac operators). + +```{r,eval=FALSE} + +reweightingdata_1 <- read.rw(filename_list, + seq(configuration_id_start, + configuration_id_end, + configuration_id_step), + n_stochastic_samples, + monomial_id) +``` +Note that filename_list can be generated as described in the `GEVP` +vignette. Note that the stochastic averaging is done automatically. + +2. Step: + +Combination of reweighting factors in case we reach the target +parameters ($\tilde{\kappa},\tilde{\mu_l}$) using intermediate steps as well. +To perform this we implemented the unit reweighting factor +and the multiplication of two reweighting factors. + +```{r, eval=FALSE} +ret <- rw_unit(unit, rewfactor[[1]]$conf.index) +for (step in 1:nsteps){ + ret <- multiply.rw(ret, rewfactor[[step]]) +} +``` + +3. Step: + +Application of the reweighting factor to a `cf` object with +attributes `cf_indexed` and `cf_orig`. We check explicitely +whether the reweighting factors and the correlators are computed +for exactly the same set of configurations in the same order. + +```{r,eval=FALSE} +cf_pp_reweighted <- bootstrap_rw.cf (ppcorrelator, + rewfactor, + boot_R) +``` + +Note that it is not possible to resample the reweighted correlation function after it is determined so we invalidate the attribute `cf_orig` of the reweighted correlation function. + +Note that after the three steps are completed you can use `hadron` routines like `new_matrixfit` in the same way as for the objects `cf_boot`. + From 710ae7b398fc6a3306838b09edaa446c5fa6ed58 Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Tue, 13 Apr 2021 13:05:07 +0300 Subject: [PATCH 78/85] sorry, I have not realized this, now it is done --- R/cf.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/cf.R b/R/cf.R index 22086a72d..684dbf575 100644 --- a/R/cf.R +++ b/R/cf.R @@ -568,6 +568,7 @@ bootstrap_rw.cf <- function(cf, rw, boot.R=400, boot.l=2, seed=1234, sim="geom", boot.l = boot.l, seed = seed, sim = sim, + endcorr = endcorr, cf.tsboot = rwcf.tsboot, resampling_method= "bootstrap") @@ -821,6 +822,7 @@ jackknife_rw.cf <- function(cf, rw, boot.l = 1) { boot.l = cf.tsboot$l, seed = 0, sim = 'geom', + endcorr = FALSE, cf.tsboot = cf.tsboot, resampling_method = 'jackknife') From 2718d0413cff68c3d573807ba92df066846ad7ed Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Fri, 16 Apr 2021 15:56:52 +0300 Subject: [PATCH 79/85] including missing examples and returns, in the plotting routine use the gauge configuration indices for the x axis --- R/rw.R | 52 ++++++++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 48 insertions(+), 4 deletions(-) diff --git a/R/rw.R b/R/rw.R index b2d86c47e..42177cc97 100644 --- a/R/rw.R +++ b/R/rw.R @@ -13,7 +13,10 @@ #' #' @examples #' x <- rw() -#' +#' +#' @return +#' returns an object of S3 class \code{rw} derived from a \code{list} +#' #' @export rw <- function() { rw <- list() @@ -28,6 +31,15 @@ rw <- function() { #' #' @family rw constructors #' +#' +#' @return +#' returns the input object of class \code{rw} with the meta data mixin added +#' +#' +#' @example +#' newrw <- rw_meta(rw, conf.index=gauge_conf_list) +#' +#' #' @export rw_meta <- function (.rw = rw(), conf.index ) { stopifnot(inherits(.rw, 'rw')) @@ -48,6 +60,15 @@ rw_meta <- function (.rw = rw(), conf.index ) { #' @param stochastic_error error coming from the stochastic samples for each gauge conf #' @family rw constructors #' +#' +#' @return +#' returns the input object of class \code{rw} with the original data mixin added +#' +#' +#' @examples +#' rw_factor <- rw_orig(rw_factor, rw = rw_data, conf.index=gauge_conf_list, max_value = max(rw_data), stochastic_error=rw_data_error) +#' +#' #' @export rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) { stopifnot(inherits(.rw, 'rw')) @@ -104,6 +125,9 @@ rw_unit <- function (.rw = rw(), conf.index) { #' # The empty rw object must be empty: #' is_empty.rw(rw()) #' +#' @return +#' returns \code{FALSE} if \code{.rw} contains no data, \code{TRUE} otherwise +#' #' @export is_empty.rw <- function (.rw) { setequal(class(.rw), class(rw())) && @@ -125,6 +149,11 @@ is_empty.rw <- function (.rw) { #' care of the normalization of the reweighting objects, since #' it will drop out, when applying it to a correlation function. #' +#' +#' @examples +#' product_of_rew_factors <- multiply.rw(rew_factor1, rew_factor2 ) +#' +#' #' @return #' The value is #' \deqn{rw_1*nf1*rw_2*nf2) \,.} @@ -167,6 +196,10 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { #' @param rw1 `rw_orig` object #' @param rw2 `rw_orig` object #' +#' @return +#' The value is +#' \deqn{rw1 * rw2 \,.} +# #' @export '*.rw' <- function (rw1, rw2) { multiply.rw(rw1, rw2, nf1 = 1, nf2 = 1) @@ -180,6 +213,9 @@ multiply.rw <- function(rw1, rw2, nf1 = 1, nf2 = 1) { #' @examples #' x <- c() #' is.rw(x) +#' +#' @return +#' Returns TRUE if the input object is of class `rw`, FALSE otherwise. #' #' @export is.rw <- function (x) { @@ -193,10 +229,14 @@ is.rw <- function (x) { #' @param ... Generic graphical parameter to be passed on to \link{plotwitherror} #' @param rep See \code{\link{plotwitherror}}. #' +#' @return +#' Invisibly returns a data.frame with named columns `idx` with the indices of the gauge configurations , `rw` the mean values of the reweighting factor and `Err` its standard error calculated from the available stochastic samples. +#' #' @export plot.rw <- function(x, ..., rep = FALSE) { rw <- x stopifnot(inherits(rw, 'rw')) + stopifnot(inherits(rw, 'rw_meta')) negs <- which(rw$rw < 0) neg.vec <- rep(1,times=length(rw$rw)) neg.vec[negs] <- -1 @@ -207,11 +247,11 @@ plot.rw <- function(x, ..., rep = FALSE) { val <- rw$rw/mean(rw$rw) err <- rw$stochastic_error - df <- data.frame(t = c(1:length(val)), - CF = val, + df <- data.frame(idx = rw$conf.index, + rw = val, Err = err) - plotwitherror(x = c(1:length(val)), y = neg.vec * df$CF, dy = df$Err, col=colneg, rep = rep, ...) + plotwitherror(x = df$idx, y = neg.vec * df$rw, dy = df$Err, col=colneg, rep = rep, ...) return(invisible(df)) } @@ -236,6 +276,10 @@ plot.rw <- function(x, ..., rep = FALSE) { #' # which means #' # combined=(rw500 from B, rw496 from B,...,rw004 from B, rw000 from A, .. #' # rw500 from A) +#' +#' @return an object of class \code{rw} with the statistics of the two input +#' \code{rw} objects combined +#' #' @export addStat.rw <- function(rw1, rw2, reverse1=FALSE, reverse2=FALSE) { stopifnot(inherits(rw1, 'rw')) From 577becf3fed899e7aa91466c60361134db5a738d Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Fri, 16 Apr 2021 17:29:00 +0300 Subject: [PATCH 80/85] creating unit reweighting factor with the appropriate constructor --- R/rw.R | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/R/rw.R b/R/rw.R index 42177cc97..9f33a1fe2 100644 --- a/R/rw.R +++ b/R/rw.R @@ -105,15 +105,9 @@ rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) { rw_unit <- function (.rw = rw(), conf.index) { stopifnot(inherits(.rw, 'rw')) - .rw$conf.index <- conf.index - .rw$rw <- rep(1.0,length(conf.index)) - .rw$max_value <- 1.0 - #unit rw factor does not have error from the stochastic samples - .rw$stochastic_error <- rep(0.0, length(conf.index)) + #we set the stochastic error to zero + .rw <- rw_orig (.rw, rep(1.0, length(conf.index)), conf.index, 1.0, rep(0.0, length(conf.index))) - class(.rw) <- append(class(.rw), 'rw_orig') - class(.rw) <- append(class(.rw), 'rw_meta') - class(.rw) <- append(class(.rw), 'rw_norm') return (.rw) } From 1ac22f250b3cbcf90089060384834eb298eff0b7 Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Fri, 16 Apr 2021 23:40:07 +0300 Subject: [PATCH 81/85] try correcting integration test --- R/rw.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index 9f33a1fe2..38b31070d 100644 --- a/R/rw.R +++ b/R/rw.R @@ -145,7 +145,7 @@ is_empty.rw <- function (.rw) { #' #' #' @examples -#' product_of_rew_factors <- multiply.rw(rew_factor1, rew_factor2 ) +#' # product_of_rew_factors <- multiply.rw(rew_factor1, rew_factor2 ) #' #' #' @return From 27b27e818ab7e0a25741362f5af4bd66b5b88503 Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Fri, 16 Apr 2021 23:51:45 +0300 Subject: [PATCH 82/85] try correcting integration test --- R/rw.R | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/R/rw.R b/R/rw.R index 38b31070d..1c5d694be 100644 --- a/R/rw.R +++ b/R/rw.R @@ -145,7 +145,10 @@ is_empty.rw <- function (.rw) { #' #' #' @examples -#' # product_of_rew_factors <- multiply.rw(rew_factor1, rew_factor2 ) +#' data(samplerw) +#' ## the following is not useful, but +#' ## explains the usage +#' product_of_rew_factors <- multiply.rw(rw1=samplerw, rw2=samplerw) #' #' #' @return From 673a119c58732c66bdb2406f17739ebe2db917b3 Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Tue, 20 Apr 2021 13:47:48 +0300 Subject: [PATCH 83/85] correcting integration test --- R/rw.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/rw.R b/R/rw.R index 1c5d694be..0db47dc3e 100644 --- a/R/rw.R +++ b/R/rw.R @@ -66,8 +66,8 @@ rw_meta <- function (.rw = rw(), conf.index ) { #' #' #' @examples -#' rw_factor <- rw_orig(rw_factor, rw = rw_data, conf.index=gauge_conf_list, max_value = max(rw_data), stochastic_error=rw_data_error) -#' +#' rw_data <- rnorm(20,100,2) #synthetic data for rw factors +#' rw_factor <- rw_orig( rw=rw_data, conf.index=seq(1,20), max_value= max(rw_data),stochastic_error=rep(0,20)) #' #' @export rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) { From 04ad406432c4b98ab105527feb954c5c5809b554 Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Wed, 26 May 2021 23:02:50 +0300 Subject: [PATCH 84/85] initializing momonialid in order to avoid warning message --- R/readutils.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/readutils.R b/R/readutils.R index 8431e90cd..d7d55cd1c 100644 --- a/R/readutils.R +++ b/R/readutils.R @@ -677,6 +677,7 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id stopifnot(length(gauge_conf_list)==length(file_names_to_read)) ret <- rw_meta(conf.index=gauge_conf_list) tmp <- read.table(file=file_names_to_read) + monomialid <- NULL names(tmp)[1] <- "monomialid" names(tmp)[2] <- "stochastic_index" names(tmp)[3] <- "kappa_target" @@ -691,7 +692,7 @@ read.rw <- function( file_names_to_read, gauge_conf_list, nsamples, monomial_id if( !dplyr_avail ){ stop("read.rw, The 'dplyr' package is required to use this function!\n") } - + tmp <- dplyr::filter(tmp,monomialid==monomial_id) if (nrow(tmp) == 0){ stop("read.rw, there is no monomial.id in reweighting data file, aborting...\n") From 3fe04262c429fea709e54c849713d756bbe2314a Mon Sep 17 00:00:00 2001 From: Ferenc Pittler Date: Wed, 26 May 2021 23:03:48 +0300 Subject: [PATCH 85/85] correcting the example for rw_meta, and break the example for rw_orig to two rows --- R/rw.R | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/R/rw.R b/R/rw.R index 0db47dc3e..033bf619b 100644 --- a/R/rw.R +++ b/R/rw.R @@ -37,7 +37,8 @@ rw <- function() { #' #' #' @example -#' newrw <- rw_meta(rw, conf.index=gauge_conf_list) +#' rwo <- rw() +#' newrw <- rw_meta(rwo, conf.index=seq(0,4,500)) #' #' #' @export @@ -67,7 +68,8 @@ rw_meta <- function (.rw = rw(), conf.index ) { #' #' @examples #' rw_data <- rnorm(20,100,2) #synthetic data for rw factors -#' rw_factor <- rw_orig( rw=rw_data, conf.index=seq(1,20), max_value= max(rw_data),stochastic_error=rep(0,20)) +#' rw_factor <- rw_orig( rw=rw_data, conf.index=seq(1,20), +#' max_value= max(rw_data),stochastic_error=rep(0,20)) #' #' @export rw_orig <- function (.rw = rw(), rw, conf.index, max_value, stochastic_error) {

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