CricketChirps %>% dplyr::summarize(mean(Chirps))
This is a bit mad. Why not just
mean(CricketChirps$Chirps)
Which will give you exactly the same thing but once again more efficiently, more simply and without dependencies?
Why make it much more complicated than it needs to be?
We add this variable to our data set using the mutate function in the dplyr
LionNoses$percentage.black <- 100*LionNoses$proportion.black
Simpler, more efficient and no dependencies. No need for dplyr at all.
using linear regression
Doesn't the code for the figure need + theme_bw() to reproduce it?