ss.data.rr

Example data for Measure phase of the Six Sigma methodology.

data

Functions and utilities to perform
Statistical Analyses in the Six Sigma way.
Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
you can manage several Quality Management studies:
Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2]
and "Quality Control with R" [ISBN 978-3-319-24046-6],
are also included in the package.

Emilio L. Cano

SixSigma

Six Sigma Tools for Quality Control and Improvement

Javier M. Moguerza

Mariano Prieto

Andrés Redchuk

Karl Tatgenhorst

Paula Martínez

Manuel Alfaro

ss.data.rr function

A data frame with 27 observations on the following 5 variables.<dl>
 <dt><code>prototype</code></dt>
<dd>a factor with levels <code>prot #1</code>
	 <code>prot #2</code> <code>prot #3</code></dd> <dt><code>operator</code></dt>
<dd>a factor with levels <code>op #1</code> <code>op
	#2</code> <code>op #3</code></dd> <dt><code>run</code></dt>
<dd>a factor with levels <code>run #1</code> <code>run #2</code> <code>run #3</code></dd> <dt><code>time1</code></dt>
<dd>a numeric vector</dd> <dt><code>time2</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Gage R&amp;R data — ss.data.rr

A data frame with 27 observations on the following 5 variables.<dl>
 <dt><code>prototype</code></dt>
<dd>a factor with levels <code>prot #1</code>
	 <code>prot #2</code> <code>prot #3</code></dd>

 <dt><code>operator</code></dt>
<dd>a factor with levels <code>op #1</code> <code>op
	#2</code> <code>op #3</code></dd>

 <dt><code>run</code></dt>
<dd>a factor with levels <code>run #1</code> <code>run #2</code> <code>run #3</code></dd>

 <dt><code>time1</code></dt>
<dd>a numeric vector</dd>

 <dt><code>time2</code></dt>
<dd>a numeric vector</dd>

 
</dl>

ss.data.rr: Gage R&R data

Description

Usage

Arguments

Format

References

Examples