R: R6-Based Statistical Methods for Quality Science

# R6-Based Statistical Methods for Quality Science

## Documentation for package ‘r6qualitytools’ version 1.0.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

adSim | adSim: Bootstrap-based Anderson-Darling Test for Univariate
aliasTable | aliasTable: Display an alias table
as.data.frame_facDesign | as.data.frame_facDesign: Coerce to a data.frame
blocking | blocking: Blocking
cg | cg: Function to calculate and visualize the gage capability.
cg_HistChart | cg_HistChart
cg_RunChart | cg_RunChart
cg_ToleranceChart | cg_ToleranceChart
code2real | code2real: Coding
confounds | confounds: Confounded Effects
contourPlot | contourPlot: Contour Plot
contourPlot3 | contourPlot3: Ternary plot
desirability | desirability: Desirability Function.
desirability.c | desirability-class: Class 'desirability'
desOpt | desOpt-class: Class 'desOpt'
dgamma3 | dgamma3: The gamma Distribution (3 Parameter)
Distr | Distr-class: Class 'Distr'
DistrCollection | DistrCollection-class: Class 'DistrCollection'
distribution | distribution: Distribution
dlnorm3 | dlnorm3: The Lognormal Distribution (3 Parameter)
doeFactor | doeFactor-class: Class 'doeFactor'
dotPlot | dotPlot: Function to create a dot plot
dweibull3 | dweibull3: The Weibull Distribution (3 Parameter)
facDesign | facDesign
facDesign.c | facDesign-class: Class 'facDesign'
FitDistr | FitDistr: Maximum-likelihood Fitting of Univariate Distributions
fracChoose | fracChoose: Choosing a fractional or full factorial design from a table.
fracDesign | fracDesign
gageLin | gageLin: Function to visualize and calucalte the linearity of a gage.
gageLinDesign | gageLinDesign: Function to create a object of class MSALinearity.
gageRR | gageRR: Gage R&R - Gage Repeatability and Reproducibility
gageRR.c | gageRR-class: Class 'gageRR'
gageRRDesign | gageRRDesign: Gage R&R - Gage Repeatability and Reproducibility
interactionPlot | interactionPlot
mixDesign | mixDesign: Mixture Designs
mixDesign.c | mixDesign-class: Class 'mixDesign'
MSALinearity | MSALinearity-class: Class 'MSALinearity'
mvPlot | mvPlot: Function to create a multi-variable plot
normalPlot | normalPlot: Normal plot
oaChoose | oaChoose: Taguchi Designs
optimum | optimum: Optimal factor settings
overall | overall: Overall Desirability.
paretoChart | paretoChart: Pareto Chart
paretoPlot | paretoPlot
pbDesign | pbDesign: Plackett-Burman Designs
pbDesign.c | pbDesign
pbFactor | pbFactor
pcr | pcr: Process Capability Indices
pgamma3 | pgamma3: The gamma Distribution (3 Parameter)
plnorm3 | plnorm3: The Lognormal Distribution (3 Parameter)
ppPlot | ppPlot: Probability Plots for various distributions
print_adtest | print_adtest: Test Statistics
pweibull3 | pweibull3: The Weibull Distribution (3 Parameter)
qgamma3 | qgamma3: The gamma Distribution (3 Parameter)
qlnorm3 | qlnorm3: The Lognormal Distribution (3 Parameter)
qqPlot | qqPlot: Quantile-Quantile Plots for various distributions
qweibull3 | qweibull3: The Weibull Distribution (3 Parameter)
randomize | randomize: Randomization
rsmChoose | rsmChoose: Choosing a response surface design from a table
rsmDesign | rsmDesign: Generate a response surface design.
simProc | simProc: Simulated Process
snPlot | snPlot: Signal-to-Noise-Ratio Plots
starDesign | starDesign: Axial Design
steepAscent | steepAscent: Steepest Ascent
steepAscent.c | steepAscent-class: Class 'steepAscent'
summaryFits | summaryFits: Fit Summary
taguchiChoose | taguchiChoose: Taguchi Designs
taguchiDesign | taguchiDesign: Taguchi Designs
taguchiDesign.c | taguchiDesign
taguchiFactor | taguchiFactor
wirePlot | wirePlot: 3D Plot
wirePlot3 | wirePlot3: function to create a ternary plot (3D wire plot)