trimmed_t: Test statistic for the two-sample trimmed t-test (Yuen's...

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

Description

trimmed_t calculates the test statistic for the two-sample trimmed t-test.

Usage

trimmed_t(x, y, gamma = 0.2, na.rm = FALSE)

Arguments

x	a (non-empty) numeric vector of data values.
y	a (non-empty) numeric vector of data values.
gamma	a numeric value in [0, 0.5] specifying the fraction of observations to be trimmed from 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

A named list containing the following components:

statistic	the value of the test statistic.
estimates	the trimmed means for both samples.
df	the degrees of freedom for the test statistic.

References

\insertRef

YueDix73apprrobnptests

\insertRef

Yue74trimrobnptests

Examples

# Generate random samples
set.seed(108)
x <- rnorm(20); y <- rnorm(20)

# Compute trimmed t-statistic
trimmed_t(x, y, gamma = 0.2)

robnptests documentation built on Nov. 8, 2021, 5:07 p.m.