DESCRIPTION

Package: reprores
Title: Data Skills for Reproducible Research
Version: 2.15
Date: 2021-09-21
Authors@R: 
  c(
    person(
        given = "Lisa", 
        family = "DeBruine", 
        role = c("aut", "cre"), 
        email = "debruine@gmail.com", 
        comment = c(ORCID = "0000-0002-7523-5539")
    ),
    person(
        given = "Dale", 
        family = "Barr", 
        role = c("aut"), 
        email = "dale.barr@glasgow.ac.uk", 
        comment = c(ORCID = "0000-0002-1121-4608")
    ),
    person(
        given = "Rebecca", 
        family = "Lai", 
        role = c("ctb"), 
        email = "rebecca.lai@glasgow.ac.uk", 
        comment = c(ORCID = "0000-0001-7055-2036")
    ))
Description: This course provides an overview of skills needed for reproducible research and open science using the statistical programming language R. Students will learn about data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows. Learning is reinforced through weekly assignments that involve working with different types of data.
License: CC BY 4.0 + LICENSE 
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: 
    installr,
    dplyr,
    tidyr,
    ggplot2,
    tibble,
    readr,
    lubridate,
    purrr,
    stringr,
    plotly,
    pwr,
    MASS,
    broom,
    readxl,
    knitr,
    shiny,
    shinyjs,
    shinydashboard,
    ukbabynames,
    patchwork,
    rio,
    haven,
    rstudioapi,
    glue,
    tidytext,
    ggwordcloud,
    googlesheets4
Suggests: 
    rmarkdown,
    zip,
    webexercises,
    R.utils,
    glossary
VignetteBuilder: knitr
Depends: 
    R (>= 2.10)
URL: https://github.com/psyteachr/reprores-v2
BugReports: https://github.com/psyteachr/reprores-v2/issues
Remotes: 
    psyteachr/glossary