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qualityTools (version 1.43)

Statistical Methods for Quality Science

Description

This is a package for teaching statistical methods in the field of Quality Science. It covers distribution fitting, process capability, Gage R&R, factorial, fractional factorial design as well as response surface methods including the use of desirability functions. Define - Pareto Chart; Measure - Probability and Quantile-Quantile Plots, Process Capability Ratios 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

249

Version

1.43

License

GPL-2

Maintainer

Thomas Roth

Last Published

May 16th, 2011

Functions in qualityTools (1.43)

taguchiChoose

Taguchi Designs
fracDesign

fracDesign
units-methods

Get and set methods
gageRR

Gage R&R - Gage Repeatability and Reproducibility
distr-class

Class "distr"
aliasTable

display an alias table
distrCollection-class

Class "distrCollection"
code2real

Coding
blocking

Blocking
[-methods

Methods for Function [ in Package `base'
effectPlot

Main Effect Plots
summary-methods

Methods for Function summary in Package `base'
taguchiDesign

Taguchi Designs
pcr

Calculate the process capability ratios for a given dataset and distribution
mvPlot

Multi-Vari Charts
blockGen-methods

Get and set methods
centerCube-methods

Get and set methods
as.data.frame-methods

Methods for Function as.data.frame in Package base
contourPlot3

function to create a ternary plot (contour plot) for an object of class mixDesign
as.data.frame.taguchiDesign

Coerce to a data.frame
types-methods

Get and set methods
as.data.frame.steepAscent

Coerce to a data.frame
effectPlot-methods

Methods for Function effectPlot
mixDesign-class

Class "mixDesign"
factors-methods

Get and set methods
as.data.frame.gageRR

Coerce to a data.frame
simProc

Simulated Process
qqPlot

Quantile-Quantile Plots for various distributions
confounds

Confounded Effects
mixDesign

Mixture Designs
rsmChoose

Choosing a response surface design from a table
desirability-class

Class "desirability"
desirability

Desirability Function
summaryFits

Fit Summary
paretoPlot

paretoPlot
plot-methods

Methods for Function plot in Package `graphics'
as.data.frame.desOpt

Coerce to a data.frame
overall

Overall Desirability
as.data.frame.facDesign

Coerce to a data.frame
as.data.frame.mixDesign

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

Optimal factor settings
interactionPlot

interactionPlot
randomize

Randomization
starDesign

Axial Design
fracChoose

Choosing a fractional or full factorial design from a table
paretoChart

Pareto Chart
facDesign

facDesign
values-methods

Get and Set methods
contourPlot

Contour Plot
desOpt-class

Class "desOpt"
qualityTools-package

Statistical Methods for Quality Sciences
doeFactor-class

Class "doeFactor"
distribution

Distribution
identity-methods

Get method
print.adtest

Test Statistics
rsmDesign

Generate a response surface design (i.e. central composite design)
wirePlot

3D Plot
centerStar-methods

Get and set methods
desires-methods

Get and set methods
dotPlot

Function to create a dot plot
normalPlot

Half-Normal plot
facDesign-class

Class "facDesign"
print.invisible

Print Function
gageRRDesign

Gage R&R - Gage Repeatability and Reproducibility
ppPlot

Probability Plots for various distributions
standOrd-methods

Get and set method
wirePlot3

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