hrm.test.matrices

<p>A list containing the data matrices of all groups. The rows are the independent subjects, these observations are assumed to be multivariate normally distributed. The columsn of all matrices need to be in the same order.</p>

data

alpha

<p>Test for no main treatment effect, no main time effect, no simple treatment effect and no interaction between treatment and time</p>

internal

Methods for testing main and interaction effects in possibly
high-dimensional parametric or nonparametric repeated measures in factorial designs for univariate or multivariate data.
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.

Martin Happ

High-Dimensional Repeated Measures

Martin Happ 

Harrar W. Solomon 

Arne C. Bathke 

hrm.test.matrices function

Test for no main treatment effect, no main time effect, no simple treatment effect and no interaction between treatment and time — hrm.test.matrices

Test for no main treatment effect, no main time effect, no simple treatment effect and no interaction between treatment and time

hrm.test.matrices: Test for no main treatment effect, no main time effect, no simple treatment effect and no interaction between treatment and time

Description

Usage

Arguments

Value