ss.data.pb3

Counts of raw materials stockouts during 22 weekdays in a month.

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.pb3 function

A data frame with 22 observations on the following 3 variables.<dl>
 <dt><code>day</code></dt>
<dd>Day id</dd> <dt><code>stockouts</code></dt>
<dd>Number of stockouts</dd> <dt><code>orders</code></dt>
<dd>Number of orders</dd> 
</dl>

Format

Particle Boards Example - Attribute data — ss.data.pb3

A data frame with 22 observations on the following 3 variables.<dl>
 <dt><code>day</code></dt>
<dd>Day id</dd>

 <dt><code>stockouts</code></dt>
<dd>Number of stockouts</dd>

 <dt><code>orders</code></dt>
<dd>Number of orders</dd>

 
</dl>

ss.data.pb3: Particle Boards Example - Attribute data

Description

Usage

Arguments

Format

References

Examples