plot.RM

Generic plot function for <code>RM</code> objects: Returns a plot of the mean 
values along with confidence intervals for a specified RM-model.

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

plot.RM function

<dl><dt>x</dt>
<dd>An object of class <code>RM</code></dd>
<dt>leg</dt>
<dd>Logical: Should a legend be plotted?</dd>
<dt>...</dt>
<dd>Additional parameters to be passed to plot()</dd></dl>

Arguments

Plot function for an RM object — plot.RM

<dl>

<dt>x</dt>
<dd>An object of class <code>RM</code></dd>


<dt>leg</dt>
<dd>Logical: Should a legend be plotted?</dd>


<dt>...</dt>
<dd>Additional parameters to be passed to plot()</dd>

</dl>

plot.RM: Plot function for an RM object

Description

Usage

Arguments