DeIdentifiedExample

A simple example of data for testing pairwise comparison methods composed of a normally distributed response and a factor with 7 levels.

datasets

Implements a range of facilities for post-hoc analysis and
summarizing linear models, generalized linear models and
generalized linear mixed models, including grouping and clustering
via pairwise comparisons using graph representations and efficient
algorithms for finding maximal cliques of a graph.
Includes also non-parametric toos for post-hoc analysis.
It has S3 methods for printing summarizing, and producing plots,
line and barplots suitable for post-hoc analyses.

Rodrigo Labouriau

postHoc

Tools for Post-Hoc Analysis

DeIdentifiedExample function

A data frame with 70 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>Y</code></dt><dd>a numeric vector containing a response variable</dd>
 <dt><code>Treatment</code></dt><dd>a factor with 7 levels <code>A</code> <code>B</code> <code>C</code> <code>D</code> <code>E</code> <code>F</code> <code>G</code></dd>
 </dl>

Format

A simple example for testing pairwise comparison methods — DeIdentifiedExample

A data frame with 70 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>Y</code></dt><dd>a numeric vector containing a response variable</dd>
 <dt><code>Treatment</code></dt><dd>a factor with 7 levels <code>A</code> <code>B</code> <code>C</code> <code>D</code> <code>E</code> <code>F</code> <code>G</code></dd>
 </dl>

DeIdentifiedExample: A simple example for testing pairwise comparison methods

Description

Usage

Arguments

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Details

Examples