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qualityTools (version 1.52)

Statistical Methods for Quality Science

Description

This Package contains methods associated with the Define, Measure, Analyze, Improve and Control (i.e. DMAIC) cycle of the Six Sigma Quality Management methodology.It covers distribution fitting, normal and non-normal process capability indices, techniques for Measurement Systems Analysis especially gage capability indices and Gage Repeatability (i.e Gage RR) and Reproducibility studies, factorial and fractional factorial designs as well as response surface methods including the use of desirability functions. Improvement via Six Sigma is project based strategy that covers 5 phases: Define - Pareto Chart; Measure - Probability and Quantile-Quantile Plots, Process Capability Indices for various distributions and Gage RR Analyze i.e. Pareto Chart, Multi-Vari Chart, Dot Plot; Improve - Full and fractional factorial, response surface and mixture designs as well as the desirability approach for simultaneous optimization of more than one response variable. Normal, Pareto and Lenth Plot of effects as well as Interaction Plots; Control - Quality Control Charts can be found in the qcc package. The focus is on teaching the statistical methodology used in the Quality Sciences.

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Version

Install

install.packages('qualityTools')

Monthly Downloads

383

Version

1.52

License

GPL-2

Maintainer

Thomas Roth

Last Published

April 19th, 2012

Functions in qualityTools (1.52)

distr-class

Class "distr"
simProc

Simulated Process
as.data.frame.facDesign

Coerce to a data.frame
blockGen-methods

Get and set methods
averagePlot

Function to create average Plots
as.data.frame.desOpt

Coerce to a data.frame
gamma3

The gamma Distribution (3 Parameter)
wirePlot3

function to create a ternary plot (3D wire plot) for an object of class mixDesign
[-methods

Methods for Function [ in Package base
qualityTools-package

Statistical Methods for Quality Sciences
distribution

Distribution
desires-methods

Get and set methods
aliasTable

Display an alias table
code2real

Coding
centerCube-methods

Get and set methods
errorPlot

Function to create error Charts
gageLinDesign

Function to create a object of class MSALinearity.
as.data.frame.gageRR

Coerce to a data.frame
compPlot

Function to create comparison Plots
mixDesign-class

Class "mixDesign"
desOpt-class

Class "desOpt"
doeFactor-class

Class "doeFactor"
normalPlot

Normal plot
fracChoose

Choosing a fractional or full factorial design from a table.
rsmChoose

Choosing a response surface design from a table
print.adtest

Test Statistics
plot-methods

Methods for Function plot in Package graphics
wirePlot

3D Plot
gageLin

Function to visualize and calucalte the linearity of a gage.
overall

Overall Desirability
taguchiChoose

Taguchi Designs
pcr

Process Capability Indices
as.data.frame-methods

Methods for Function as.data.frame in Package base
lnorm3

The Lognormal Distribution (3 Parameter)
qqPlot

Quantile-Quantile Plots for various distributions
weibull3

The Weibull Distribution (3 Parameter)
contourPlot

Contour Plot
dotPlot

Function to create a dot plot
as.data.frame.steepAscent

Coerce to a data.frame
paretoChart

Pareto Chart
rsmDesign

Generate a response surface design (i.e. central composite design)
distrCollection-class

Class "distrCollection"
contourPlot3

function to create a ternary plot (contour plot) for an object of class mixDesign
blocking

Blocking
confounds

Confounded Effects
types-methods

Get and set methods
effectPlot

Main Effect Plots
as.data.frame.taguchiDesign

Coerce to a data.frame
desirability

Desirability Function
whiskersPlot

Function to create Whiskers Charts
print.invisible

Print Function
ppPlot

Probability Plots for various distributions
interactionPlot

interactionPlot
taguchiDesign

Taguchi Designs
centerStar-methods

Get and set methods
as.data.frame.mixDesign

Coerce the object of class mixDesign to a data.frame
gageRR

Gage R&R - Gage Repeatability and Reproducibility
standOrd-methods

Get and set method
gageRRDesign

Gage R&R - Gage Repeatability and Reproducibility
randomize

Randomization
starDesign

Axial Design
units-methods

Get and set methods
mixDesign

Mixture Designs
mvPlot

Multi-Vari-Charts
summaryFits

Fit Summary
adSim

Bootstrap-based Anderson-Darling Test for Univariate Distributions
summary-methods

Methods for Function summary in Package base
paretoPlot

paretoPlot
optimum

Optimal factor settings
values-methods

Get and Set methods
MSALinearity-class

Class "MSALinearity"
desirability-class

Class "desirability"
facDesign

facDesign
effectPlot-methods

Methods for Function effectPlot
facDesign-class

Class "facDesign"
fracDesign

fracDesign
factors-methods

Get and set methods
identity-methods

Get method