MOats

This is the <code>Oats</code> dataset provided in the nlme package, but it is
rearranged as one multivariate observation per plot.

datasets

Obtain estimated marginal means (EMMs) for many linear, generalized
linear, and mixed models. Compute contrasts or linear functions of EMMs,
trends, and comparisons of slopes. Plots and other displays.
Least-squares means are discussed, and the term "estimated marginal means"
is suggested, in Searle, Speed, and Milliken (1980) Population marginal means
in the linear model: An alternative to least squares means, The American
Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.

Russell Lenth

emmeans

Estimated Marginal Means, aka Least-Squares Means

Russell V. Lenth

Balazs Banfai

Ben Bolker

Paul Buerkner

Iago Giné-Vázquez

Maxime Herve

Maarten Jung

Jonathon Love

Fernando Miguez

Julia Piaskowski

Hannes Riebl

Henrik Singmann

MOats function

A data frame with 18 observations and 3 variables<dl>
 <dt><code>Variety</code></dt>
<dd>a factor with levels <code>Golden Rain</code>,
 <code>Marvellous</code>, <code>Victory</code></dd> <dt><code>Block</code></dt>
<dd>an ordered factor with levels <code>VI</code> &lt; <code>V</code> &lt;
 <code>III</code> &lt; <code>IV</code> &lt; <code>II</code> &lt; <code>I</code></dd> <dt><code>yield</code></dt>
<dd>a matrix with 4 columns, giving the yields with
 nitrogen concentrations of 0, .2, .4, and .6.</dd>
</dl>

Format

Oats data in multivariate form — MOats

A data frame with 18 observations and 3 variables<dl>
 <dt><code>Variety</code></dt>
<dd>a factor with levels <code>Golden Rain</code>,
 <code>Marvellous</code>, <code>Victory</code></dd>

 <dt><code>Block</code></dt>
<dd>an ordered factor with levels <code>VI</code> &lt; <code>V</code> &lt;
 <code>III</code> &lt; <code>IV</code> &lt; <code>II</code> &lt; <code>I</code></dd>

 <dt><code>yield</code></dt>
<dd>a matrix with 4 columns, giving the yields with
 nitrogen concentrations of 0, .2, .4, and .6.</dd>


</dl>

Oats data in multivariate form

MOats: Oats data in multivariate form

Description

Usage

Arguments

Format

Details

References

Examples