orthogonal_scores

<code>orthogonal_scores</code> returns orthogonal scores weighted by prevalence in
the data.

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

orthogonal_scores function

<dl><dt>x</dt>
<dd>a vector of scores, either a factor or numeric.</dd>
<dt>degree</dt>
<dd>the degree of orthogonal scores required.</dd>
<dt>n_strata</dt>
<dd>optional argument for indicating the number of strata to
apply the scores to.</dd></dl>

Arguments

orthogonal_scores — orthogonal_scores

<dl>

<dt>x</dt>
<dd>a vector of scores, either a factor or numeric.</dd>


<dt>degree</dt>
<dd>the degree of orthogonal scores required.</dd>


<dt>n_strata</dt>
<dd>optional argument for indicating the number of strata to
apply the scores to.</dd>

</dl>

orthogonal_scores: orthogonal_scores

Description

Usage

Value

Arguments

References

Examples