row_col_effect

<code>row_col_effects</code> returns the values of the row and column effects. This
can be used to remove these effects from the response in a process call
aligning. This is particularly applicable in LSD 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

row_col_effect function

<dl><dt>to_align</dt>
<dd>a numeric response vector.</dd>
<dt>rows</dt>
<dd>a vector giving the row effects for <code>y</code>.</dd>
<dt>cols</dt>
<dd>a vector giving the column effects for <code>y</code>.</dd></dl>

Arguments

Row and column effects — row_col_effect

<dl>

<dt>to_align</dt>
<dd>a numeric response vector.</dd>


<dt>rows</dt>
<dd>a vector giving the row effects for <code>y</code>.</dd>


<dt>cols</dt>
<dd>a vector giving the column effects for <code>y</code>.</dd>

</dl>

row_col_effect: Row and column effects

Description

Usage

Value

Arguments

References

Examples