print.MANOVA

Returns a short summary of the results (test statistics with p-values)

Implemented are various tests for semi-parametric repeated measures
and general MANOVA designs that do neither assume multivariate normality nor
covariance homogeneity, i.e., the procedures are applicable for a wide range
of general multivariate factorial designs. In addition to asymptotic inference
methods, novel bootstrap and permutation approaches are implemented as well. These provide more
accurate results in case of small to moderate sample sizes. Furthermore, post-hoc
comparisons are provided for the multivariate analyses.
Friedrich, S., Konietschke, F. and Pauly, M. (2019) <doi:10.32614/RJ-2019-051>.

Sarah Friedrich

MANOVA.RM

Resampling-Based Analysis of Multivariate Data and Repeated
Measures Designs

print.MANOVA function

<dl><dt>x</dt>
<dd>A MANOVA object</dd>
<dt>...</dt>
<dd>Additional parameters (currently not used)</dd></dl>

Arguments

Display MANOVA object — print.MANOVA

<dl>

<dt>x</dt>
<dd>A MANOVA object</dd>


<dt>...</dt>
<dd>Additional parameters (currently not used)</dd>

</dl>

print.MANOVA: Display MANOVA object

Description

Usage

Arguments