twosamp.marginal

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

Designed to ease the application and comparison of multiple
hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are
standardized and usable by the accompanying 'mutossGUI'.

Kornelius Rohmeyer

mutoss

Unified Multiple Testing Procedures

twosamp.marginal function

Author

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

Arguments

Marginal two sample test — twosamp.marginal

<dl>

 <dt>data</dt>
<dd>the data set</dd>

 <dt>model</dt>
<dd>the result of a call to <code>twosamp.model(classlabel)</code></dd>

 <dt>robust</dt>
<dd>a logical variable indicating whether a two sample t-test or a Wilcoxon-Mann-Whitney test should be used.</dd>

 <dt>alternative</dt>
<dd>a character string specifying the alternative hypothesis,
 must be one of <code>two.sided</code>, <code>greater</code> or <code>less</code></dd>

 <dt>psi0</dt>
<dd>a numeric that defines the hypothesized null value</dd>

 <dt>equalvar</dt>
<dd>a logical variable indicating whether to treat the two variances as being equal</dd>

</dl>

twosamp.marginal: Marginal two sample test

Description

Usage

Value

Author

Arguments

Details

References