anovatab

data

string. The categorical variable against the variable
will be compared.

main.var

strings. The categorical variable to compare with.

digit. Number of decimals for the mean and quantiles

nb.dec

Performs the function <code>aov()</code> for the <code>main.var</code> and <code>var</code>.

internal

Algorithms for (i) unsupervised learning for dataset with
missing data and/or left-censored data, using multiple imputation and
consensus clustering ; (ii) semi-supervised learning with a survival
endpoint (right-censored) for complete or incomplete datasets, using
multiple imputation and consensus clustering in the latter case. The
methods are described in Faucheux et al. (2021)
<doi:10.1002/bimj.201900366> and Faucheux et al. (2021)
<doi:10.1002/bimj.202000365>, respectively.

anovatab: Table of ANOVA test for several explanatory variables

Description

Usage

Arguments

Value