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This creates labels for quantile based bins in percent. This assumes the right-closed intervals as produced by cut_quantile_bins().

Usage

bins_percent_labels(probs, digits = 0)

Arguments

probs

(proportion vector)
the probabilities identifying the quantiles. This is a sorted vector of unique proportion values, i.e. between 0 and 1, where the boundaries 0 and 1 must not be included.

digits

(integer)
number of decimal places to round the percent numbers.

Value

Character vector with labels in the format [0%,20%], (20%,50%], etc.

Examples

# Internal function - bins_percent_labels
if (FALSE) {
# Just pass the internal probability bounds, then 0 and 100% will be added automatically.
bins_percent_labels(c(0.2, 0.5))

# Determine how to round.
bins_percent_labels(0.35224, digits = 1)

# Passing an empty vector just gives a single bin 0-100%.
bins_percent_labels(c(0, 1))
}