win_mean: Winsorized mean

In robnptests: Robust Nonparametric Two-Sample Tests for Location/Scale

Winsorized mean

Description

win_mean calculates the winsorized mean of a sample.

Usage

win_mean(x, gamma = 0.2, na.rm = FALSE)

Arguments

x	a (non-empty) numeric vector of data values.
gamma	a numeric value in [0, 0.5] specifying the fraction of observations to be replaced at each end of the sample before calculating the mean. The default value is 0.2.
na.rm	a logical value indicating whether NA values in x and y should be stripped before the computation proceeds. The default is na.rm = FALSE.

Value

The winsorized mean.

Examples

# Generate random samples
set.seed(108)
x <- rnorm(10)

# Compute 20% winsorized mean
win_mean(x, gamma = 0.2)

robnptests documentation built on Feb. 16, 2023, 7:10 p.m.