Learn R Programming
⚠️There's a newer version (0.12-5) of this package.Take me there.

RcmdrPlugin.DoE (version 0.9-2)

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.

Copy Link

Version

Install

install.packages('RcmdrPlugin.DoE')

Monthly Downloads

943

Version

0.9-2

License

GPL (>= 2)

Maintainer

Ulrike Groemping

Last Published

January 24th, 2011

Functions in RcmdrPlugin.DoE (0.9-2)

Menu.FrF2levelTabEstimable

Estimable 2fis for regular (fractional) factorial 2-level designs
Menu.oaTab1

Basic information for orthogonal main effects designs
Menu.FacDetailsGenTab

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

Using the menu for loading catalogues
Menu.Modify

Modifying designs
Menu.plot

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

Re-importing an exported design with the R-Commander
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.QuantDesignAnalyze

Analyze designs for quantitative factors
PlotMeansDoE.menu

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

Menu for generating central composite designs for quantitative factors
Menu.colremove

Help on using the menu for deleting columns
Menu.IAPlot

Help on using the menu for 2-level main effects and interaction plots
Menu.lhsTab1

Basic information for latin hypercube samples
Menu.Analyze

Analyze experimental designs
Menu.addresponse

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

Optimal designs
Menu.augmentlhs

Menu for augmenting an existing latin hypercube sample
Menu.FrF2level

Menu for generating regular fractional factorial 2-level designs
Menu.facTab1

Basic information for full factorial designs
Menu.exportTab

Using the export menu
Menu.import

Using the import menu
Menu.rsmmodel

Using the response surface model menu
Menu.tab

Help on using the menu for tabulating selected factors
Menu.FacDetails2Tab

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

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

Menu for generating D-optimal designs
Menu.2level

2-level factorial designs
Menu.summarize

Using the summarize menu
Menu.General

General factorial designs
Menu.pb2levelTab1

Basic information for 2-level screening designs
Menu.changecontr

Help on using the menu for changing contrasts
Menus

Help on using R-Commander menus
Menu.pb2level

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

Exporting and importing Designs
Menu.Quantitative

Designs specifically tailored to quantitative factors
Menu.responses

Help on using the menu for response selection
Menu.EffectsPlots

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

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

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

Contour plots for linear models with quantitative regressors
Menu.addcenter

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

Using the steepest slope menu
Menu.model

Using the linear model menu
Menu.FrF2levelTab1

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

Menu for generating full factorial designs
RcmdrPlugin.DoEUndocumentedFunctions

Functions used in menus
Menu.lhs

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

Menu for generating orthogonal main effects designs
Menu.rsm

RcmdrPlugin.DoE response surface model Dialog for experimental data