Plastic

An experiment was conducted to determine the optimum conditions for
extruding plastic film. Three responses were measured in relation to two
factors, rate of extrusion and amount of an additive.

datasets

Provides HE plot and other functions for visualizing hypothesis
tests in multivariate linear models. HE plots represent sums-of-squares-and-products
matrices for linear hypotheses and for error using ellipses (in two
dimensions) and ellipsoids (in three dimensions). The related 'candisc' package
provides visualizations in a reduced-rank canonical discriminant space when
there are more than a few response variables.

Michael Friendly

heplots

Visualizing Hypothesis Tests in Multivariate Linear Models

John Fox

Georges Monette

Phil Chalmers

Duncan Murdoch

Plastic function

A data frame with 20 observations on the following 5 variables.<dl>
 <dt><code>tear</code></dt>
<dd>a numeric vector: tear resistance</dd> <dt><code>gloss</code></dt>
<dd>a numeric vector: film gloss</dd>
 
 <dt><code>opacity</code></dt>
<dd>a numeric vector: film opacity</dd>
 
 <dt><code>rate</code></dt>
<dd>a factor representing change in the rate of extrusion with levels <code>Low</code> (-10%), <code>High</code> (10%)</dd>
 
 <dt><code>additive</code></dt>
<dd>a factor with levels <code>Low</code> (1.0%), <code>High</code> (1.5%)</dd>
 </dl>

Format

Plastic Film Data — Plastic

A data frame with 20 observations on the following 5 variables.<dl>
 <dt><code>tear</code></dt>
<dd>a numeric vector: tear resistance</dd>

 <dt><code>gloss</code></dt>
<dd>a numeric vector: film gloss</dd>
 
 <dt><code>opacity</code></dt>
<dd>a numeric vector: film opacity</dd>
 
 <dt><code>rate</code></dt>
<dd>a factor representing change in the rate of extrusion with levels <code>Low</code> (-10%), <code>High</code> (10%)</dd>
 
 <dt><code>additive</code></dt>
<dd>a factor with levels <code>Low</code> (1.0%), <code>High</code> (1.5%)</dd>
 

</dl>

Plastic: Plastic Film Data

Description

Arguments

Format

References

Examples