Add weather overlap period 534 [minor]

DataCleaningScripts/clean_pit_tags.R

@@ -1,6 +1,3 @@
-
-
-
 #
 # determines if a tag is a PIT tag by its structure
 #  requires species input for comparison, returns a logical vector

DataCleaningScripts/get_regional_weather.R

@@ -1,7 +1,7 @@
-library(httr)
-library(jsonlite)
-library(dplyr)
-library(lubridate)
+library(httr, warn.conflicts=FALSE, quietly = TRUE)
+library(jsonlite, warn.conflicts=FALSE, quietly = TRUE)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
+library(lubridate, warn.conflicts=FALSE, quietly = TRUE)
 
 # Explicitly assign magrittr pipe operator
 `%>%` <- magrittr::`%>%`

DataCleaningScripts/new_rodent_data.r

@@ -1,10 +1,10 @@
 # This script is for cleaning new rodent data.  Data must first be entered in two separate sheets in
 # an excel file, by two different people to reduce entry error.
 
-library(openxlsx)
-library(sqldf)
-library(RCurl)
-library(dplyr)
+library(openxlsx, warn.conflicts=FALSE, quietly = TRUE)
+library(sqldf, warn.conflicts=FALSE, quietly = TRUE)
+library(RCurl, warn.conflicts=FALSE, quietly = TRUE)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
 
 source('DataCleaningScripts/general_data_cleaning_functions.R')
 source('DataCleaningScripts/rodent_data_cleaning_functions.R')

DataCleaningScripts/old_weather_overlap.R

@@ -12,7 +12,7 @@ source("DataCleaningScripts/new_weather_data.r")
 # Open raw .dat file of new data
 filepath = "~/Dropbox (UFL)/Portal/PORTAL_primary_data/Weather/Raw_data/2002_Station/"
 
-metfile <- "Met526"
+metfile <- "Met534"
 
 rawdata <- read.csv(paste(filepath,metfile,'.dat',sep=''),head=F,sep=',',
                    col.names=c('code','year','jday','hour','precipitation','airtemp','RH'))

DataCleaningScripts/rodent_data_cleaning_functions.R

@@ -1,4 +1,4 @@
-library(dplyr)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
 
 currentdir = getwd()
 

DataCleaningScripts/update_portal_plant_censuses.R

@@ -5,7 +5,7 @@
 # you must manually change it's value to zero
 # If a season gets skipped entirely, it should also be manually added
 
-library(dplyr)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
 
 #' Appends new census dates to Portal_plant_censuses
 #'

DataCleaningScripts/update_portal_plots.R

@@ -1,5 +1,5 @@
-library(zoo)
-library(dplyr)
+library(zoo, warn.conflicts=FALSE, quietly = TRUE)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
 
 #' Appends new dates to Portal_plots
 #'

DataCleaningScripts/update_portal_rodent_trapping.r

@@ -1,8 +1,8 @@
 # This creates the Portal_rodent_trapping.csv file in the Rodents folder
 # Record of which plots were or were not trapped in each census and exact dates
 
-library(dplyr)
-library(zoo)
+library(dplyr, warn.conflicts=FALSE, quietly = TRUE)
+library(zoo, warn.conflicts=FALSE, quietly = TRUE)
 
 #' Appends new trapping dates to Portal_rodent_trapping
 #'