Activity: Functions and data frames

Instructions:

• Work with a neighbor to answer the following questions
• To get started, download the class activity template file
• When you are finished, render the file as an HTML and submit the HTML to Canvas (let me know if you encounter any problems)

Creating a plot

The code below creates side-by-side boxplots to show the distribution of carat for each different cut in the diamonds data:

library(tidyverse)

diamonds |>
  ggplot(aes(x = cut, y = carat)) +
  geom_boxplot() +
  theme_bw() +
  labs(title = "Distribution of carat by cut in the diamonds data")

1. Adapting this code, write a function called group_boxplot which allows you to make side-by-side boxplots, given a data frame and the two variables to plot. Here are some examples of the function in action:

library(palmerpenguins)

group_boxplot(diamonds, cut, carat)

group_boxplot(diamonds, carat, cut)

group_boxplot(penguins, species, bill_depth_mm)

Hint: For titling the plots, see the examples with the englue function in Section 25.4.3 of R for Data Science (2nd edition).