R6-Based Statistical Methods for Quality Science
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Documentation for package ‘r6qualitytools’ version 1.0.1
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) |