NishData

Questionnaire data collected at a Dual Scaling workshop in Singapore

datasets

Performs simple correspondence analysis on a two-way contingency table,
or multiple correspondence analysis (homogeneity analysis)
on data with p categorical variables,
and produces bootstrap-based elliptical confidence regions around the
projected coordinates for the category points.
Includes routines to plot the results in a variety of styles.
Also reports the standard numerical output for correspondence analysis.

TJ Ringrose

cabootcrs

Bootstrap Confidence Regions for Simple and Multiple
Correspondence Analysis

NishData function

A matrix of 13 individuals by 4 variables each with 3 possible answers<dl class="dl-horizontal">
 <dt>Age - a</dt><dd>20-29 (1), 30-39 (2), 40+ (3)</dd>
 <dt>Children are less disciplined now - b</dt><dd>Agree (1), Disagree (2), Can't tell (3)</dd>
 <dt>Children are less fortunate now - c</dt><dd>Agree (1), Disagree (2), Can't tell (3)</dd>
 <dt>Religions should not be taught in school - d</dt><dd>Agree (1), Disagree (2), Indifferent (3)</dd>
</dl>

Format

Nishisato's Singapore data — NishData

A matrix of 13 individuals by 4 variables each with 3 possible answers<dl class='dl-horizontal'>
 <dt>Age - a</dt><dd>20-29 (1), 30-39 (2), 40+ (3)</dd>
 <dt>Children are less disciplined now - b</dt><dd>Agree (1), Disagree (2), Can't tell (3)</dd>
 <dt>Children are less fortunate now - c</dt><dd>Agree (1), Disagree (2), Can't tell (3)</dd>
 <dt>Religions should not be taught in school - d</dt><dd>Agree (1), Disagree (2), Indifferent (3)</dd>
</dl>

NishData: Nishisato's Singapore data

Description

Usage

Arguments

Format