winsorize: Winsorize outliers by capping extreme values

In dataprep: Fast, Efficient, and Versatile Data Preprocessing and Reshaping with 'C++', 'OpenMP' & 'SIMD'

Winsorize outliers by capping extreme values

Description

Replaces extreme values in selected columns with the specified top and bottom quantile thresholds, rather than deleting them. This is useful for reducing the influence of outliers while preserving sample size.

Usage

winsorize(data, cols = NULL, top = 0.995, bottom = 0.0025,
          group = NULL, verbose = FALSE)

Arguments

data	A data frame, matrix, or numeric vector.
cols	The column indices or names of selected variables. If NULL, all columns are used.
top	The top quantile threshold. Values above this are capped at the threshold.
bottom	The bottom quantile threshold. Values below this are capped at the threshold.
group	Optional grouping column for group-wise winsorization.
verbose	Logical; if TRUE, prints progress message.

Value

A data frame with extreme values capped.

Examples

winsorize(data[1:100, c(1, 4, 17:19)], cols = 3:5)

dataprep documentation built on Oct. 1, 2026, 5:07 p.m.