film

Two days in a given month were randomly selected in which to run an experiment. three operators were selected at random from a large pool of available operators. The experiment consisted of measuring the dry-film thickness of varnish in mils for three different gate settings: 2, 4, and 6.

datasets

Provides the analysis of variance table including the expected mean squares (EMS) for various types of experimental design. When some variables are random effects or we use special experimental design such as nested design, repeated-measures design, or split-plot design, it is not easy to find the appropriate test, especially denominator for F-statistic which depends on EMS.

Eun-Kyung Lee

EMSaov

The Analysis of Variance with EMS

film function

A data frame with 36 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>thickness</code></dt><dd>a numeric vector</dd>
 <dt><code>Gate</code></dt><dd>a numeric vector</dd>
 <dt><code>Operator</code></dt><dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd>
 <dt><code>Day</code></dt><dd>a numeric vector</dd>
 </dl>

Format

Dry-film thickness — film

A data frame with 36 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>thickness</code></dt><dd>a numeric vector</dd>
 <dt><code>Gate</code></dt><dd>a numeric vector</dd>
 <dt><code>Operator</code></dt><dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd>
 <dt><code>Day</code></dt><dd>a numeric vector</dd>
 </dl>

film: Dry-film thickness

Description

Usage

Arguments

Format

References

Examples