twosamp.marginal: Marginal two sample test
In mutoss: Unified Multiple Testing Procedures

twosamp.marginal

R Documentation

Marginal two sample test

Description

The robust version uses the Wilcoxon-Mann-Whitney test, otherwise a two-sample t-test will be performed.

Usage

twosamp.marginal(data, model, robust, alternative, psi0, equalvar)

Arguments

`data`	the data set
`model`	the result of a call to `twosamp.model(classlabel)`
`robust`	a logical variable indicating whether a two sample t-test or a Wilcoxon-Mann-Whitney test should be used.
`alternative`	a character string specifying the alternative hypothesis, must be one of `two.sided`, `greater` or `less`
`psi0`	a numeric that defines the hypothesized null value
`equalvar`	a logical variable indicating whether to treat the two variances as being equal

Details

A vector of classlabels needs to be provided to distinguish the two groups.

Value

pValues

A numeric vector containing the unadjusted pValues

Author(s)

MuToss-Coding Team

References

Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics Bulletin 1:80-83. Mann, H. and Whitney, D. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics 18:50-60 Student (1908). The probable error of a mean. Biometrika, 6(1):1-25.

mutoss documentation built on March 31, 2023, 8:46 p.m.