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