RcmdrPlugin.DoE0.12-5 package

R Commander Plugin for (Industrial) Design of Experiments

DoEGlossary

Glossary for DoE terminology as used in RcmdrPlugin.DoE

editDataset.design

function to add a warning to the Rcmdr editDataset function

Menu.2level

2-level factorial designs

Menu.addcenter

Adding center points to a 2-level design

Menu.addresponse

Adding (a) response(s) to an existing design

Menu.Analyze

Analyze experimental designs

Menu.augmentlhs

Menu for augmenting an existing latin hypercube sample

Menu.bbd.rd

Menu for generating Box-Behnken designs for quantitative factors

Menu.bbdTab1.rd

Basic information for Box-Behnken designs

Menu.BsMDPlot

Help on using the menu for 2-level Bayesian Screening analysis

Menu.ccd

Menu for generating central composite designs for quantitative factors

Menu.ccdTab1.rd

Basic information for Central Composite Designs

Menu.changecontr

Help on using the menu for changing contrasts

Menu.colremove

Help on using the menu for deleting columns

Menu.contour

Contour plots for linear models with quantitative regressors

Menu.display

Using display design menu

Menu.Dopt

Menu for generating D-optimal designs

Menu.DoptTab1.rd

Basic information for creation of D-optimal Designs

Menu.EffectsPlots

Help on using the menu for (half) normal effects plots

Menu.ExpImp

Exporting and importing Designs

Menu.exportTab

Using the export menu

Menu.fac

Menu for generating full factorial designs

Menu.FacDetails2Tab

How to use the factor details tab for 2-level and quantitative designs

Menu.FacDetailsGenTab

How to use the factor details tab for general designs

Menu.facTab1

Basic information for full factorial designs

Menu.FrF2level

Menu for generating regular fractional factorial 2-level designs

Menu.FrF2levelTab1

Basic information for regular (fractional) factorial 2-level designs

Menu.FrF2levelTabEstimable

Estimable 2fis for regular (fractional) factorial 2-level designs

Menu.General

General factorial designs

Menu.IAPlot

Help on using the menu for 2-level main effects and interaction plots

Menu.import

Using the import menu

Menu.importrdacsv

Re-importing an exported design with the R-Commander

Menu.Inspect.rd

Inspecting the active design

Menu.lhs

Menu for generating latin hypercube samples for quantitative factors

Menu.lhsTab1

Basic information for latin hypercube samples

Menu.linearModelDesign

RcmdrPlugin.DoE Linear Model Dialog for experimental data

Menu.loadcatlg

Using the menu for loading catalogues

Menu.mExport

Using the export menu

Menu.mImport

Using the import menu

Menu.model

Using the linear model menu

Menu.Modify

Modifying designs

Menu.oa

Menu for generating orthogonal main effects designs

Menu.oaTab1

Basic information for orthogonal main effects designs

Menu.Optimal

Optimal designs

Menu.param

Help on using the menu for Taguchi inner-outer array designs

Menu.pb2level

Menu for generating non-regular fractional factorial 2-level designs

Menu.pb2levelTab1

Basic information for 2-level screening designs

Menu.pickcube

Pick the cube portion from a central composite design

Menu.plot

Help on using the menu for plotting selected factors

Menu.QuantDesignAnalyze

Analyze designs for quantitative factors

Menu.Quantitative

Designs specifically tailored to quantitative factors

Menu.responses

Help on using the menu for response selection

Menu.rsm

RcmdrPlugin.DoE response surface model Dialog for experimental data

Menu.rsmmodel

Using the response surface model menu

Menu.steepest

Using the steepest slope menu

Menu.summarize

Using the summarize menu

Menu.tab

Help on using the menu for tabulating selected factors

Menus

Help on using R-Commander menus

PlotMeansDoE.menu

Menu for main effects and interaction plots for general factorial desi...

RcmdrPlugin.DoE-package

R-Commander plugin package that implements design of experiments facil...

RcmdrPlugin.DoEUndocumentedFunctions

Functions used in menus

Provides a platform-independent GUI for design of experiments. The package is implemented as a plugin to the R-Commander, which is a more general graphical user interface for statistics in R based on tcl/tk. DoE functionality can be accessed through the menu Design that is added to the R-Commander menus.