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RcmdrPlugin.DoE (version 0.9-1)

R Commander Plugin for (industrial) Design of Experiments

Description

WARNING: This package is currently in beta status! The package provides a platform-independent GUI for design of experiments. It 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.

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Version

Install

install.packages('RcmdrPlugin.DoE')

Monthly Downloads

1,861

Version

0.9-1

License

GPL (>= 2)

Maintainer

Ulrike Groemping

Last Published

January 24th, 2011

Functions in RcmdrPlugin.DoE (0.9-1)

Menu.rsmmodel

Using the response surface model menu
Menu.lhs

Menu for generating latin hypercube samples for quantitative factors
Menu.loadcatlg

Using the menu for loading catalogues
Menu.changecontr

Help on using the menu for changing contrasts
Menu.colremove

Help on using the menu for deleting columns
Menu.Modify

Modifying designs
Menu.Quantitative

Designs specifically tailored to quantitative factors
Menu.pb2level

Menu for generating non-regular fractional factorial 2-level designs
RcmdrPlugin.DoEUndocumentedFunctions

Functions used in menus
Menu.facTab1

Basic information for full factorial designs
Menu.Optimal

Optimal designs
Menu.augmentlhs

Menu for augmenting an existing latin hypercube sample
Menu.FacDetailsGenTab

How to use the factor details tab for general designs
Menu.plot

Help on using the menu for plotting selected factors
Menu.oa

Menu for generating orthogonal main effects designs
Menu.pb2levelTab1

Basic information for 2-level screening designs
Menu.2level

2-level factorial designs
Menu.FrF2level

Menu for generating regular fractional factorial 2-level designs
Menu.rsm

RcmdrPlugin.DoE response surface model Dialog for experimental data
Menu.importrdacsv

Re-importing an exported design with the R-Commander
Menu.FrF2levelTabEstimable

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

Help on using the menu for (half) normal effects plots
Menu.FrF2levelTab1

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

Analyze designs for quantitative factors
Menu.model

Using the linear model menu
Menu.contour

Contour plots for linear models with quantitative regressors
Menu.fac

Menu for generating full factorial designs
Menu.steepest

Using the steepest slope menu
Menu.exportTab

Using the export menu
Menu.Dopt

Menu for generating D-optimal designs
Menu.IAPlot

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

Adding (a) response(s) to an existing design
Menu.ExpImp

Exporting and importing Designs
Menu.FacDetails2Tab

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

Help on using the menu for tabulating selected factors
Menu.General

General factorial designs
Menu.summarize

Using the summarize menu
Menu.lhsTab1

Basic information for latin hypercube samples
DoEGlossary

Glossary for DoE terminology as used in RcmdrPlugin.DoE
Menu.Analyze

Analyze experimental designs
Menu.oaTab1

Basic information for orthogonal main effects designs
Menu.addcenter

Adding center points to a 2-level design
Menu.responses

Help on using the menu for response selection
Menu.import

Using the import menu
Menu.linearModelDesign

RcmdrPlugin.DoE Linear Model Dialog for experimental data
Menu.param

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

Menu for generating central composite designs for quantitative factors
Menus

Help on using R-Commander menus
RcmdrPlugin.DoE-package

R-Commander plugin package that implements design of experiments facilities from packages DoE.base, FrF2 and DoE.wrapper into the R-Commander
Menu.DoptTab1

Basic information for creation of D-optimal Designs
PlotMeansDoE.menu

Menu for main effects and interaction plots for general factorial designs
Menu.Inspect

Inspecting the active design
Optimal designs

Optimal designs
Menu.bbdTab1

Basic information for Box-Behnken designs
Menu.bbd

Menu for generating Box-Behnken designs for quantitative factors
Menu.ccdTab1

Basic information for Central Composite Designs