Pmat_product

Multiplies a vector or matrix with a Pmat 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

Pmat_product function

<dl><dt>x</dt>
<dd>A a vector or matrix</dd>
<dt>P</dt>
<dd>A Pmat object</dd>
<dt>type</dt>
<dd>A character string indicating the type of transformation. This argument need to be specified if P is not of class Pmat.</dd></dl>

Arguments

Multiplies a vector with a Pmat object — Pmat_product

<dl>

<dt>x</dt>
<dd>A a vector or matrix</dd>


<dt>P</dt>
<dd>A Pmat object</dd>


<dt>type</dt>
<dd>A character string indicating the type of transformation. This argument need to be specified if P is not of class Pmat.</dd>

</dl>

Pmat_product: Multiplies a vector with a Pmat object

Description

Usage

Value

Arguments

See Also