Numeric defaults

cut_by_quantile() converts a numeric vector into a categorical variable where quantiles define the cut points. This is a useful function, but at the moment you have to specify five arguments to make it work. This is too much thinking and typing.

By specifying default arguments, you can make it easier to use. Let's start with n, which specifies how many categories to cut x into.

A numeric vector of the number of visits to Snake River is provided as n_visits.

Deze oefening maakt deel uit van de cursus

Introduction to Writing Functions in R

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Oefeninstructies

Update the definition of cut_by_quantile() so that the n argument defaults to 5.
Remove the n argument from the call to cut_by_quantile().

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Set the default for n to 5
cut_by_quantile <- function(x, n, 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 n argument from the call
cut_by_quantile(
  n_visits, 
  n = 5, 
  na.rm = FALSE, 
  labels = c("very low", "low", "medium", "high", "very high"),
  interval_type = "(lo, hi]"
)

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