Dataset for single factor variance component analysis, used in vignette

datasets

An implementation of the Partition Of variation (POV) method as
developed by Dr. Thomas A Little <https://thomasalittleconsulting.com> in
1993 for the analysis of semiconductor data for hard drive manufacturing.
POV is based on sequential sum of squares and is an exact method that
explains all observed variation. It quantitates both the between and within
factor variation effects and can quantitate the influence of both continuous
and categorical factors.

Paul Deen

Partition of Variation Variance Component Analysis Method

dt2 function

A data frame with 36 rows and 2 variables:<dl class="dl-horizontal">
 <dt>Group</dt><dd>3 Level Factor</dd>
 <dt>Response</dt><dd>Measured value of the characteristic under investigation</dd>
</dl>

Format

Dataset for single factor variance component analysis, used in vignette — dt2

A data frame with 36 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>Group</dt><dd>3 Level Factor</dd>
 <dt>Response</dt><dd>Measured value of the characteristic under investigation</dd>
</dl>

dt2: Dataset for single factor variance component analysis, used in vignette

Description

Usage

Arguments

Format