fiber

Fiber data from Montgomery Design (8th ed.), p.656 (Table 15.10). Useful as a
simple analysis-of-covariance example.

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

fiber function

A data frame with 15 observations and 3 variables:<dl>
 <dt><code>machine</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code>. 
 This is the primary factor of interest.</dd> <dt><code>strength</code></dt>
<dd>a numeric vector. The response variable.</dd> <dt><code>diameter</code></dt>
<dd>a numeric vector. A covariate.</dd>
</dl>

Format

Fiber data — fiber

A data frame with 15 observations and 3 variables:<dl>
 <dt><code>machine</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code>. 
 This is the primary factor of interest.</dd>

 <dt><code>strength</code></dt>
<dd>a numeric vector. The response variable.</dd>

 <dt><code>diameter</code></dt>
<dd>a numeric vector. A covariate.</dd>


</dl>

Fiber data

fiber: Fiber data

Description

Usage

Arguments

Format

Details

Examples