I have a table like
mtcars
I need to count how many models are velow the 30% percentile. I found that perecentile. but I do not found how to count them.
library(dplyr)
library(purrr)
mtcars %>% summarise(across(where(is.numeric), ~ quantile(.x, 0.30 ) ))
mpg cyl disp hp drat wt qsec vs am gear carb 1 15.98 4 142.06 106.2 3.15 2.773 17.02 0 0 3 2
mtcars %>% summarise(across(where(is.numeric), ~ quantile(.x, 0.30 ) ))
We convert to a logical vector (.x < quantile(.x, 0.30)
) and get the count with sum
- as TRUE
-> 1 and FALSE
-> 0
library(dplyr)
mtcars %>%
summarise(across(where(is.numeric), ~ sum(.x < quantile(.x, 0.30 ) )))
-output
mpg cyl disp hp drat wt qsec vs am gear carb
1 10 0 10 10 9 10 9 0 0 0 7