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:

• dog_training.csv
• exercise.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:

train_tib <- here::here("data/dog_training.csv") |> 
  read_csv()

For the exercise data, import using this code:

exercise_tib <-  here::here("data/exercise.csv") |> 
  read_csv() |>
  dplyr::mutate(
    id = as_factor(id),
    intervention = as_factor(intervention) |>  fct_relevel("Wait list"),
    time = as_factor(time) |> fct_relevel("Baseline", "1 month", "6 months", "12 months")
  )

This code reads in the data and converts the variables intervention and time to factors (categorical variable). It uses fct_relevel to set the order of the levels of the factor intervention to be wait list and intervention. Similarly, the order of the levels of the factor time are set as baseline, 1 month, 6 months, 12 months.

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