Logical defaults

cut_by_quantile() is now slightly easier to use, but you still always have to specify the na.rm argument. This removes missing values—it behaves the same as the na.rm argument to mean() or sd().

Where functions have an argument for removing missing values, the best practice is to not remove them by default (in case you hadn't spotted that you had missing values). That means that the default for na.rm should be FALSE.

Это упражнение является частью курса

Introduction to Writing Functions in R

Посмотреть курс

Инструкции к упражнению

Update the definition of cut_by_quantile() so that the na.rm argument defaults to FALSE.
Remove the na.rm argument from the call to cut_by_quantile().

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Set the default for na.rm to FALSE
cut_by_quantile <- function(x, n = 5, na.rm, labels, interval_type) {
  probs <- seq(0, 1, length.out = n + 1)
  qtiles <- quantile(x, probs, na.rm = na.rm, names = FALSE)
  right <- switch(interval_type, "(lo, hi]" = TRUE, "[lo, hi)" = FALSE)
  cut(x, qtiles, labels = labels, right = right, include.lowest = TRUE)
}

# Remove the na.rm argument from the call
cut_by_quantile(
  n_visits, 
  na.rm = FALSE, 
  labels = c("very low", "low", "medium", "high", "very high"),
  interval_type = "(lo, hi]"
)

Редактировать и запускать код