hrm.A.unweighted

Test for no main treatment effect (unweighted version)

internal

Methods for testing main and interaction effects in possibly
high-dimensional parametric or nonparametric repeated measures in factorial designs.
The observations of the subjects are assumed to be multivariate normal if using the parametric test.
The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks).
It is possible to use up to 2 whole- and 3 subplot factors.
See Happ et al. (2017, <doi:10.1080/15598608.2017.1307792>) for details.

Martin Happ

High-Dimensional Repeated Measures

Solomon W. Harrar

Arne C. Bathke

hrm.A.unweighted function

<dl><dt>n</dt>
<dd>an vector containing the sample sizes of all groups</dd>
<dt>a</dt>
<dd>number of groups</dd>
<dt>d</dt>
<dd>number of dimensions (time points)</dd>
<dt>X</dt>
<dd>list containing the data matrices of all groups</dd>
<dt>alpha</dt>
<dd>alpha level used for the test</dd></dl>

Arguments

Test for no main treatment effect (unweighted version) — hrm.A.unweighted

<dl>

<dt>n</dt>
<dd>an vector containing the sample sizes of all groups</dd>


<dt>a</dt>
<dd>number of groups</dd>


<dt>d</dt>
<dd>number of dimensions (time points)</dd>


<dt>X</dt>
<dd>list containing the data matrices of all groups</dd>


<dt>alpha</dt>
<dd>alpha level used for the test</dd>

</dl>

hrm.A.unweighted: Test for no main treatment effect (unweighted version)

Description

Usage

Value

Arguments