nutrition

This observational dataset involves three factors, but where several factor 
combinations are missing. It is used as a case study in Milliken and Johnson,
Chapter 17, p.202. (You may also find it in the second edition, p.278.)

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

Ben Bolker

Paul Buerkner

Iago Giné-Vázquez

Maxime Herve

Maarten Jung

Jonathon Love

Fernando Miguez

Hannes Riebl

Henrik Singmann

nutrition function

A data frame with 107 observations and 4 variables:<dl>
 <dt><code>age</code></dt>
<dd>a factor with levels <code>1</code>, <code>2</code>, <code>3</code>,
 <code>4</code>. Mother's age group.</dd> <dt><code>group</code></dt>
<dd>a factor with levels <code>FoodStamps</code>, <code>NoAid</code>.
 Whether or not the family receives food stamp assistance.</dd> <dt><code>race</code></dt>
<dd>a factor with levels <code>Black</code>, <code>Hispanic</code>,
 <code>White</code>. Mother's race.</dd> <dt><code>gain</code></dt>
<dd>a numeric vector (the response variable). Gain score
 (posttest minus pretest) on knowledge of nutrition.</dd>
</dl>

Format

Nutrition data — nutrition

A data frame with 107 observations and 4 variables:<dl>
 <dt><code>age</code></dt>
<dd>a factor with levels <code>1</code>, <code>2</code>, <code>3</code>,
 <code>4</code>. Mother's age group.</dd>

 <dt><code>group</code></dt>
<dd>a factor with levels <code>FoodStamps</code>, <code>NoAid</code>.
 Whether or not the family receives food stamp assistance.</dd>

 <dt><code>race</code></dt>
<dd>a factor with levels <code>Black</code>, <code>Hispanic</code>,
 <code>White</code>. Mother's race.</dd>

 <dt><code>gain</code></dt>
<dd>a numeric vector (the response variable). Gain score
 (posttest minus pretest) on knowledge of nutrition.</dd>


</dl>

Nutrition data

nutrition: Nutrition data

Description

Usage

Arguments

Format

Details

Examples