strawberry

Strawberry growth rates for different pesticides.

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

strawberry function

A data frame with 28 rows and four columns.<dl>
<dt>block</dt>
<dd>the experimental block</dd><dt>pesticide</dt>
<dd>the pesticide applied to the plant. Pesticide O is a control.</dd><dt>response</dt>
<dd>a measure of the growth rate of strawberry plants with <code>pesticide</code> applied.</dd><dt>rank</dt>
<dd>rank of the response</dd>
</dl>

Format

Strawberry data — strawberry

A data frame with 28 rows and four columns.<dl>
<dt>block</dt>
<dd>the experimental block</dd>

<dt>pesticide</dt>
<dd>the pesticide applied to the plant. Pesticide O is a control.</dd>

<dt>response</dt>
<dd>a measure of the growth rate of strawberry plants with <code>pesticide</code> applied.</dd>

<dt>rank</dt>
<dd>rank of the response</dd>


</dl>

strawberry: Strawberry data

Description

Usage

Arguments

Format

Details

References

Examples