rho.mult

Matrice de corrélation de Bravais-Pearson, bootstrap ou permutation

Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutrition analyses.

Frederic Bertrand

ModStatR

Statistical Modelling in Action with R

Emmanuelle Claeys

Myriam Maumy-Bertrand

rho.mult function

<dl><dt>mat</dt>
<dd>Matrice des données</dd>
<dt>indices</dt>
<dd>Vecteur d'indices dont la longueur est égale au nombre de lignes de la matrice</dd></dl>

Arguments

Matrice de corrélation de Bravais-Pearson, bootstrap ou permutation — rho.mult

<dl>

<dt>mat</dt>
<dd>Matrice des données</dd>


<dt>indices</dt>
<dd>Vecteur d'indices dont la longueur est égale au nombre de lignes de la matrice</dd>

</dl>

rho.mult: Matrice de corrélation de Bravais-Pearson, bootstrap ou permutation

Description

Usage

Value

Arguments

Examples