plot.lmperm

Show the density of statistics and the test statistic.

Functions to compute p-values based on permutation tests. Regression, ANOVA and ANCOVA, omnibus F-tests, marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented (Kherad-Pajouh, S., & Renaud, O. (2010) <doi:10.1016/j.csda.2010.02.015> ; Kherad-Pajouh, S., & Renaud, O. (2014) <doi:10.1007/s00362-014-0617-3> ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) <doi:10.1016/j.neuroimage.2014.01.060>). An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic (Maris, E., & Oostenveld, R. (2007) <doi:10.1016/j.jneumeth.2007.03.024>) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) <doi:10.1016/j.neuroimage.2008.03.061>).

Jaromil Frossard

permuco

Permutation Tests for Regression, (Repeated Measures)
ANOVA/ANCOVA and Comparison of Signals

Olivier Renaud

plot.lmperm function

<dl><dt>x</dt>
<dd>A <code>"lmperm"</code> object.</dd>
<dt>FUN</dt>
<dd>A function to compute the density. Default is <a href="/link/density?package=permuco&version=1.1.3" data-mini-rdoc="permuco::density">density</a>.</dd>
<dt>...</dt>
<dd>futher arguments pass to plot.</dd></dl>

Arguments

Plot method for class "lmperm". — plot.lmperm

<dl>

<dt>x</dt>
<dd>A <code>"lmperm"</code> object.</dd>


<dt>FUN</dt>
<dd>A function to compute the density. Default is <a href='https://rdrr.io/r/stats/density.html'>density</a>.</dd>


<dt>...</dt>
<dd>futher arguments pass to plot.</dd>

</dl>

plot.lmperm: Plot method for class `"lmperm"`.

Description

Usage

Arguments

Details

See Also