packages

In discovr: Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

# Create bib file for R packages

tidylist <- c('tidyverse', 'dplyr', 'forcats', 'ggplot2', 'readr', 'tibble', 'tidyr')
easylist <- c("easystats", "correlation", "datawizard", "insight", "performance", "parameters", "see")
otherlist <- c('here', 'GPArotation', 'psych')

here::here("inst/tutorials/discovr_17/packages.bib") |>
  knitr::write_bib(c(easylist, tidylist, otherlist), file = _)

In this tutorial all packages are pre-loaded. If working outside of the tutorial, load the easystats and tidyverse packages (and any others if you're using a concise style - see previous section) at the beginning of your r quarto() document:

library(easystats)
library(tidyverse)

This tutorial uses the following packages:

• here [@R-here]
• GPArotation [@R-GPArotation; @GPArotation2005] is used under the hood by [easystats]{.pkg}
• psych [@R-psych] is used under the hood by [easystats]{.pkg}

It also uses these packages from:

easystats

• correlation [@R-correlation]
• datawizard [@R-datawizard; @datawizard2022]
• insight [@R-insight]
• performance [@R-performance]
• parameters [@R-parameters; @parameters2020]
• see [@R-see; @see2021]

tidyverse

• dplyr [@R-dplyr]
• forcats [@R-forcats]
• ggplot2 [@R-ggplot2; @wickham_ggplot2_2016]
• readr [@R-readr]
• tibble [@R-tibble]
• tidyr [@R-tidyr]

discovr documentation built on Feb. 5, 2026, 5:07 p.m.