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.
Diese Übung ist Teil des Kurses
Introduction to Writing Functions in R
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Add an na.rm arg with a default, and pass it to mean()
calc_harmonic_mean <- function(x) {
x %>%
get_reciprocal() %>%
mean() %>%
get_reciprocal()
}