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:

• puppies.csv
• superhero.csv

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

puppy_tib <- here::here("data/puppies.csv") |> read_csv()
hero_tib <- here::here("data/superhero.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 package. There is one categorical variables here: dose. The category we want as a baseline or reference is the [No puppies]{.alt} category; therefore, we can convert this variable to a factor using this code:

puppy_tib <- puppy_tib |> 
  dplyr::mutate(
    dose = as_factor(dose) |> fct_relevel("No puppies")
  )

Similarly, the superhero contains one categorical variable (hero) and there isn't an obvious reference category so we'd execute

hero_tib <- hero_tib |> 
  dplyr::mutate(
    hero = as_factor(hero)
  )

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