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qualityTools (version 1.41)

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

220

Version

1.41

License

GPL-2

Maintainer

Thomas Roth

Last Published

February 28th, 2011

Functions in qualityTools (1.41)

code2real

Coding
facDesign

facDesign
taguchiDesign

Taguchi Designs
NEWS

NEWS file for the qualityTools package
distr-class

Class "distr"
randomize

Randomization
centerStar-methods

Get and set methods
as.data.frame-methods

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

Distribution
factors-methods

Get and set methods
overall

Overall Desirability
simProc

Simulated Process
as.data.frame.desOpt

Coerce to a data.frame
qqPlot

Quantile-Quantile Plots for various distributions
contourPlot

Contour Plot
as.data.frame.taguchiDesign

Coerce to a data.frame
identity-methods

Get method
contourPlot3

function to create a ternary plot (contour plot) for an object of class mixDesign
units-methods

Get and set methods
effectPlot-methods

Methods for Function effectPlot
paretoChart

Pareto Chart
desirability

Desirability Function
mvPlot

Multi-Vari Charts
ppPlot

Probability Plots for various distributions
as.data.frame.gageRR

Coerce to a data.frame
print.invisible

Print Function
wirePlot3

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

Test Statistics
aliasTable

display an alias table
desOpt-class

Class "desOpt"
dotPlot

Function to create a dot plot
centerCube-methods

Get and set methods
values-methods

Get and Set methods
desires-methods

Get and set methods
paretoPlot

paretoPlot
plot-methods

Methods for Function plot in Package `graphics'
pcr

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

interactionPlot
normalPlot

Half-Normal plot
facDesign-class

Class "facDesign"
taguchiChoose

Taguchi Designs
as.data.frame.steepAscent

Coerce to a data.frame
blocking

Blocking
qualityTools-package

Statistical Methods for Quality Sciences
gageRRDesign

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

Class "desirability"
summaryFits

Fit Summary
blockGen-methods

Get and set methods
fracDesign

fracDesign
mixDesign

Mixture Designs
gageRR

Gage R&R - Gage Repeatability and Reproducibility
optimum

Optimal factor settings
standOrd-methods

Get and set method
types-methods

Get and set methods
wirePlot

3D Plot
effectPlot

Main Effect Plots
starDesign

Axial Design
mixDesign-class

Class "mixDesign"
summary-methods

Methods for Function summary in Package `base'
[-methods

Methods for Function [ in Package `base'
rsmChoose

Choosing a response surface design from a table
rsmDesign

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

Class "distrCollection"
confounds

Confounded Effects
as.data.frame.mixDesign

Coerce the object of class mixDesign to a data.frame
as.data.frame.facDesign

Coerce to a data.frame
fracChoose

Choosing a fractional or full factorial design from a table