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R for the Rest of Us: A Statistics-Free Introduction comes out June 25th. Or you can read the online version today. Check it out →
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For this section of the course, you'll need the materials in this GitHub repo. You can download or clone them.

Your Turn

After you download or clone the materials from the GitHub repo for this section of the course, open the entire project by clicking 02_avalanchr.Rproj and then work in the exercises.Rmd file.

  • Re-write this ggplot2 theme as a function. Call it theme_avalanche_h().

  • Run this code to test that your function works

theme_avalanche_h <- function() { 
              theme_minimal(base_size = 14) +
              theme(panel.grid.minor = element_blank(), panel.grid.major.y = element_blank()) 

residents_per_sector <- data.frame(
              sector = as.factor(1:8),
              residents = c(1000, 2034, 4594, 2304, 8093, 1200, 300, 2398)

ggplot(residents_per_sector, aes(forcats::fct_reorder(sector, residents), residents)) + 
             geom_col() +
             coord_flip() +
             xlab("sector") +

Learn More

If you want a refresher on writing functions, there is a chapter in the 2nd edition of R for Data Science on the topic.

Have any questions? Put them below and we will help you out!

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