DESCRIPTION

Package: introdataviz
Title: Data Visualisation Using R, For Researchers Who Don’t Use R
Version: 0.0.0.9003
Date: 2021-06-21
Authors@R: 
    c(person(given = "Emily",
           family = "Nordmann",
           role = c("aut", "cre"),
           email = "emily.nordmann@glasgow.ac.uk",
           comment = c(ORCID = "0000-0002-0806-1081")),
    person(given = "Phil",
           family = "McAleer",
           role = c("aut"),
           email = "Philip.McAleer@glasgow.ac.uk",
           comment = c(ORCID = "0000-0002-4523-2097")),
    person(given = "Wilhelmiina",
           family = "Toivo",
           role = c("aut"),
           email = "Wilhelmiina.Toivo@glasgow.ac.uk",
           comment = c(ORCID = "0000-0002-5688-9537")),
    person(given = "Helena",
           family = "Paterson",
           role = c("aut"),
           email = "Helena.Paterson@glasgow.ac.uk",
           comment = c(ORCID = "0000-0001-7715-5973")),
    person(given = "Lisa",
           family = "DeBruine",
           role = c("aut"),
           email = "debruine@gmail.com",
           comment = c(ORCID = "0000-0002-7523-5539")))
Description: In this tutorial, we provide a practical introduction to data visualisation using R, specifically aimed at researchers who have little to no prior experience of using R.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: 
    dplyr,
    ggplot2,
    tidyr,
    patchwork,
    readr,
    knitr,
    webexercises,
    glossary,
    downlit,
    broom,
    plyr,
    scales,
    grid,
    ggridges,
    ggalluvial,
    papaja
Depends: 
    R (>= 2.10)
Remotes:
    psyteachr/glossary,
    crsh/papaja