cut3: cut3

In prettyglm: Pretty Summaries of Generalized Linear Model Coefficients

cut3

Description

Hmisc::cut2 bones repackaged to remove errors with importing Hmisc

Usage

cut3(
  x,
  cuts,
  m = 150,
  g,
  digits,
  minmax = TRUE,
  oneval = TRUE,
  onlycuts = FALSE,
  formatfun = format,
  ...
)

Arguments

x	numeric vector to classify into intervals.
cuts	cut points.
m	desired minimum number of observations in a group. The algorithm does not guarantee that all groups will have at least m observations.
g	number of quantile groups
digits	number of significant digits to use in constructing levels.
minmax	if cuts is specified but min(x)<min(cuts) or max(x)>max(cuts), augments cuts to include min and max x
oneval	if an interval contains only one unique value, the interval will be labeled with the formatted version of that value instead of the interval endpoints, unless oneval=FALSE
onlycuts	set to TRUE to only return the vector of computed cuts. This consists of the interior values plus outer ranges.
formatfun	format function
...	additional arguments passed to formatfun

Value

vector of cut

prettyglm documentation built on Sept. 8, 2023, 5:56 p.m.