rbin_winsorize: Winsorized binning

In rsquaredacademy/rbin: Tools for Binning Data

Winsorized binning

Description

Bin continuous data using winsorized method.

Usage

rbin_winsorize(
  data = NULL,
  response = NULL,
  predictor = NULL,
  bins = 10,
  include_na = TRUE,
  winsor_rate = 0.05,
  min_val = NULL,
  max_val = NULL,
  type = 7,
  remove_na = TRUE
)

## S3 method for class 'rbin_winsorize'
plot(x, print_plot = TRUE, ...)

Arguments

data	A data.frame or tibble.
response	Response variable.
predictor	Predictor variable.
bins	Number of bins.
include_na	logical; if TRUE, a separate bin is created for missing values.
winsor_rate	A value from 0.0 to 0.5.
min_val	the low border, all values being lower than this will be replaced by this value. The default is set to the 5 percent quantile of predictor.
max_val	the high border, all values being larger than this will be replaced by this value. The default is set to the 95 percent quantile of predictor.
type	an integer between 1 and 9 selecting one of the nine quantile algorithms detailed in quantile() to be used.
remove_na	logical; if TRUE NAs will removed while calculating quantiles
x	An object of class rbin_winsorize.
print_plot	logical; if TRUE, prints the plot else returns a plot object.
...	further arguments passed to or from other methods.

Value

A tibble.

Examples

bins <- rbin_winsorize(mbank, y, age, 10, winsor_rate = 0.05)
bins

# plot
plot(bins)

rsquaredacademy/rbin documentation built on June 3, 2023, 6:07 p.m.