data

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

To work outside of this tutorial you need to download the following data file:

• cat_dance.csv

Set up an r rstudio() project in the way that I recommend in this tutorial, and save the data files to the folder within your project called [data]{.alt}. Place this code in the first code chunk in your Quarto document:

dance_tib <- here::here("data/cat_dance.csv") |> read_csv()

Preparing data

To work outside of this tutorial you need to turn categorical variables into factors and set an appropriate baseline category using as_factor and fct_relevel from the [forcats]{.pkg} package. There are two categorical variables here: training (the animal was trained using either food or affection, not both) and dance (the animal either learnt to dance or it did not). For each variable, think about which category you'd want as your baseline or reference. For training it doesn't matter too much, but for dance it makes sense to have 'No' as the reference category. Therefore, you might convert these variables to factors using this code:

dance_tib <- dance_tib |> 
  dplyr::mutate(
    dance = as_factor(dance) |> fct_relevel("No"),
    training = as_factor(training) |> fct_relevel("Food")
  )

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