peanuts

A plant biologist conducted an experiment to compare the yields of four
varieties of peanuts, denoted as A, B, C, and D. A plot of land was divided
into 16 subplots (four rows and four columns).

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

peanuts function

A data frame with 16 rows and four columns.<dl>
<dt>yield</dt>
<dd>the peanut yield</dd><dt>treatment</dt>
<dd>the variety of peanut plant</dd><dt>row</dt>
<dd>the row the plants were grown in of the plot</dd><dt>col</dt>
<dd>the column the plants were grown in of the plot</dd>
</dl>

Format

Peanuts data — peanuts

A data frame with 16 rows and four columns.<dl>
<dt>yield</dt>
<dd>the peanut yield</dd>

<dt>treatment</dt>
<dd>the variety of peanut plant</dd>

<dt>row</dt>
<dd>the row the plants were grown in of the plot</dd>

<dt>col</dt>
<dd>the column the plants were grown in of the plot</dd>


</dl>

peanuts: Peanuts data

Description

Usage

Arguments

Format

References

Examples