marriage

Scores of 1, 2 and 3 are assigned to the responses agree, neutral and
disagree respectively to the proposition "Homosexuals should be able to
marry" and scores of 1, 2 and 3 are assigned to the religious categories
fundamentalist, moderate and liberal respectively.

datasets

Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.

G. C. Livingston Jr

CMHNPA

Cochran-Mantel-Haenszel and Nonparametric ANOVA

J.C.W. Rayner

marriage function

A data frame with 133 rows and three columns.<dl>
<dt>education</dt>
<dd>highest level of eduction for the respondent</dd><dt>religion</dt>
<dd>level of religiosity. Scores of 1, 2 and 3 are assigned to the religious categories fundamentalist, moderate and liberal respectively</dd><dt>opinion</dt>
<dd>the response to the proposition: "Homosexuals should be able to marry". Scores of 1, 2 and 3 are assigned to the responses agree, neutral and
disagree respectively</dd>
</dl>

Format

Marriage data — marriage

A data frame with 133 rows and three columns.<dl>
<dt>education</dt>
<dd>highest level of eduction for the respondent</dd>

<dt>religion</dt>
<dd>level of religiosity. Scores of 1, 2 and 3 are assigned to the religious categories fundamentalist, moderate and liberal respectively</dd>

<dt>opinion</dt>
<dd>the response to the proposition: "Homosexuals should be able to marry". Scores of 1, 2 and 3 are assigned to the responses agree, neutral and
disagree respectively</dd>


</dl>

marriage: Marriage data

Description

Usage

Arguments

Format

References

Examples