as.Pmat

Convert a matrix into a <code>Pmat</code> object.

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

as.Pmat function

<dl><dt>x</dt>
<dd>a matrix.</dd></dl>

Arguments

Method to convert into Pmat object. — as.Pmat

<dl>

<dt>x</dt>
<dd>a matrix.</dd>

</dl>

as.Pmat: Method to convert into `Pmat` object.

Description

Usage

Arguments

See Also