print.nparld_factorinfo

Prints factor-specific relative effects, standard errors, and confidence
limits for the main effects and interactions of an <code>nparLD()</code> fit.
Factor information is returned when the model is fitted with
<code>Factor.Information = TRUE</code> and can also be displayed graphically with
<code>plot(fit, term = ...)</code>.

Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.

Frank Konietschke

nparLD

Nonparametric Analysis of Longitudinal Data in Factorial
Experiments

Kimihiro Noguchi

Mahbub Latif

Karthinathan Thangavelu

Edgar Brunner

print.nparld_factorinfo function

<dl><dt>x</dt>
<dd>An object of class <code>"nparld_factorinfo"</code>.</dd>
<dt>digits</dt>
<dd>Number of digits used for printing numerical results.</dd>
<dt>...</dt>
<dd>Further arguments.</dd></dl>

Arguments

Print nparLD factor information — print.nparld_factorinfo

<dl>

<dt>x</dt>
<dd>An object of class <code>"nparld_factorinfo"</code>.</dd>


<dt>digits</dt>
<dd>Number of digits used for printing numerical results.</dd>


<dt>...</dt>
<dd>Further arguments.</dd>

</dl>

print.nparld_factorinfo: Print nparLD factor information

Description

Usage

Arguments

Details