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')
easylist <- c("easystats", "datawizard", "effectsize", "insight", "modelbased", "performance", "parameters")
otherlist <- c('here', 'marginaleffects', 'sandwich', 'WRS2')

here::here("inst/tutorials/discovr_11/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]
• marginaleffects [@R-marginaleffects; @marginaleffects2024] is loaded by the [modelbased]{.pkg} package
• sandwich [@R-sandwich; @sandwich2004; @sandwich2006; @sandwich2020] is automatically loaded by the [parameters]{.pkg} package
• WRS2 [@R-WRS2; @WRS22020]

It also uses these packages from:

easystats

• datawizard [@R-datawizard; @datawizard2022]
• effectsize [@R-effectsize; @effectsize2020]
• insight [@R-insight]
• modelbased [@R-modelbased; @modelbasedPackage]
• performance [@R-performance]
• parameters [@R-parameters; @parameters2020]

tidyverse

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

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