Learn R Programming

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

RcmdrPlugin.DoE (version 0.11-5)

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

1,047

Version

0.11-5

License

GPL (>= 2)

Maintainer

Ulrike Groemping

Last Published

November 15th, 2011

Functions in RcmdrPlugin.DoE (0.11-5)

Modifying designs

Menu.QuantDesignAnalyze

Analyze designs for quantitative factors

2-level factorial designs

Menu.addresponse

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

Menu for generating central composite designs for quantitative factors

Menu for generating D-optimal designs

Using the import menu

Menu.augmentlhs

Menu for augmenting an existing latin hypercube sample

Menu.linearModelDesign

RcmdrPlugin.DoE Linear Model Dialog for experimental data

Menu.importrdacsv

Re-importing an exported design with the R-Commander

Contour plots for linear models with quantitative regressors

Menu.FrF2levelTab1

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

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

General factorial designs

Using the linear model menu

Using display design menu

Using the export menu

Using the response surface model menu

Menu for generating full factorial designs

Basic information for full factorial designs

Pick the cube portion from a central composite design

Menu for generating orthogonal main effects designs

Glossary for DoE terminology as used in RcmdrPlugin.DoE

Menu.FacDetailsGenTab

How to use the factor details tab for general designs

Basic information for orthogonal main effects designs

Using the import menu

RcmdrPlugin.DoEUndocumentedFunctions

Functions used in menus

Optimal designs

Menu.changecontr

Help on using the menu for changing contrasts

Using the export menu

Menu.FacDetails2Tab

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

Menu.FrF2levelTabEstimable

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

Help on using the menu for deleting columns

Menu for generating latin hypercube samples for quantitative factors

Help on using R-Commander menus

Using the summarize menu

Exporting and importing Designs

Analyze experimental designs

RcmdrPlugin.DoE response surface model Dialog for experimental data

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

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

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

Basic information for latin hypercube samples

Adding center points to a 2-level design

Help on using the menu for response selection

Menu.pb2levelTab1

Basic information for 2-level screening designs

PlotMeansDoE.menu

Menu for main effects and interaction plots for general factorial designs

Help on using the menu for plotting selected factors

Menu.Quantitative

Designs specifically tailored to quantitative factors

Menu.EffectsPlots

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

Menu for generating regular fractional factorial 2-level designs

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

Using the menu for loading catalogues

Using the steepest slope menu

Help on using the menu for tabulating selected factors