Dealing with missing values
In the last exercise, many sectors had an NA value for the harmonic mean. It would be useful for your function to be able to remove missing values before calculating.
Rather than writing your own code for this, you can outsource this functionality to mean().
The dplyr package is loaded.
Questo esercizio fa parte del corso
Introduction to Writing Functions in R
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Add an na.rm arg with a default, and pass it to mean()
calc_harmonic_mean <- function(x) {
x %>%
get_reciprocal() %>%
mean() %>%
get_reciprocal()
}