Package: RcmdrPlugin.DoE 0.12-5

RcmdrPlugin.DoE: R Commander Plugin for (Industrial) Design of Experiments

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.

Authors:Ulrike Groemping [aut, cre], Fox John [ctb]

RcmdrPlugin.DoE_0.12-5.tar.gz
RcmdrPlugin.DoE_0.12-5.zip(r-4.5)RcmdrPlugin.DoE_0.12-5.zip(r-4.4)RcmdrPlugin.DoE_0.12-5.zip(r-4.3)
RcmdrPlugin.DoE_0.12-5.tgz(r-4.4-any)RcmdrPlugin.DoE_0.12-5.tgz(r-4.3-any)
RcmdrPlugin.DoE_0.12-5.tar.gz(r-4.5-noble)RcmdrPlugin.DoE_0.12-5.tar.gz(r-4.4-noble)
RcmdrPlugin.DoE_0.12-5.tgz(r-4.4-emscripten)RcmdrPlugin.DoE_0.12-5.tgz(r-4.3-emscripten)
RcmdrPlugin.DoE.pdf |RcmdrPlugin.DoE.html✨
RcmdrPlugin.DoE/json (API)
NEWS

# Install 'RcmdrPlugin.DoE' in R:
install.packages('RcmdrPlugin.DoE', repos = c('https://ugroempi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

105 exports 3 stars 0.49 score 147 dependencies 3 scripts 927 downloads

Last updated 12 months agofrom:7fa5d37ded. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

Exports:activeDataSetDesign2PactiveDataSetDesign2PnoccdactiveDataSetDesign2PRespactiveDataSetDesign2PwocactiveDataSetDesignccdactiveDataSetDesignlhsactiveDataSetDesignLongToWideactiveDataSetDesignPactiveDataSetDesignparamactiveDataSetDesignparamlongactiveDataSetDesignPRespactiveDataSetDesignQualPactiveDataSetDesignRemovablePactiveDataSetDesignWideactiveModelLMactiveModelRSMcheckWarningsdcdesign.info.designdisplay.designdisplay.design.std.orderdisplayblockdisplayCentralCompositeDesignsdisplayGlossarydisplaysplitploteditDataset.designexist2DesignsexistcatlgPkgsexistDesign2existDesign2FrFexistDesign2pbexistDesignsexistDesignsWithRespexistRSMsfpairschelp2levelhelpabouthelpAnalyzehelpDopthelpExpImphelpExporthelpgeneralhelpGeneralAnalyzehelpImporthelpInspecthelpMenushelpModifyhelpquanthelpQuantDesignAnalyzeHowToReImportinitializeDialogDoEisDesign2FrFisDesign2pbjustDoItDoElistCatlgslistDesignslistDesigns2listDesignsWithResplistListslistObjectslistRSMsloadworkspaceMenu.addcenterMenu.addresponseMenu.aggregateMenu.augmentlhsMenu.bbdMenu.candMenu.ccdMenu.changecontrMenu.colremoveMenu.contourMenu.displayMenu.DoptMenu.EffectPlotsMenu.exportMenu.facMenu.FrF2levelMenu.IAPlotMenu.importMenu.importrdacsvMenu.lhsMenu.linearModelDesignMenu.loadcatlgMenu.modelMenu.oaMenu.paramMenu.pb2levelMenu.pickcubeMenu.plotMenu.PlotMeansDoEMenu.responsesMenu.rsmMenu.rsmmodelMenu.steepestMenu.summarizeMenu.tabMenu.widemodelFormulaDoEonHelpSyntaxrsmFormulasubsetBoxDoEsummarize.designtextcorrecttextentry

Dependencies:abindAlgDesignbackportsbase64encbitbit64bootbroombslibcachemcarcarDatacellrangercheckmateclassclicliprclustercolorspacecombinatconf.designcowplotcpp11crayondata.tableDBIDerivDiceDesigndigestdoByDoE.baseDoE.wrapperdplyre1071effectsestimabilityevaluatefansifarverfastmapfontawesomeforcatsforeignFormulaFrF2fsgenericsggplot2gluegmpgridExtragtablehavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphinsightisobandjquerylibjsonliteknitrlabelinglatticelhslifecyclelme4lmtestmagrittrMASSmathjaxrMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamitoolsmodelrmunsellnlmenloptrnnetnortestnumbersnumDerivpartitionspbkrtestpillarpkgconfigpolynomprettyunitsprogressproxypurrrquantregR6rappdirsrbibutilsRcmdrRcmdrMiscRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreadstata13readxlrelimprematchrlangrmarkdownrpartrsmrstudioapisandwichsassscalesscatterplot3dsetssfsmiscSparseMstringistringrsurveysurvivaltcltk2tibbletidyrtidyselecttinytextzdbutf8vcdvctrsviridisviridisLitevroomwithrxfunyamlzoo

Readme and manuals

Help Manual

Help pageTopics
R-Commander plugin package that implements design of experiments facilities from packages DoE.base, FrF2 and DoE.wrapper into the R-CommanderRcmdrPlugin.DoE-package RcmdrPlugin.DoE
Glossary for DoE terminology as used in RcmdrPlugin.DoEDoEGlossary
function to add a warning to the Rcmdr editDataset functioneditDataset.design
2-level factorial designsMenu.2level
Adding center points to a 2-level designMenu.addcenter
Adding (a) response(s) to an existing designMenu.addresponse
Analyze experimental designsMenu.Analyze
Menu for augmenting an existing latin hypercube sampleMenu.augmentlhs
Menu for generating Box-Behnken designs for quantitative factorsMenu.bbd
Basic information for Box-Behnken designsMenu.bbdTab1
Help on using the menu for 2-level Bayesian Screening analysisMenu.BsMDPlot
Menu for generating central composite designs for quantitative factorsMenu.ccd
Basic information for Central Composite DesignsMenu.ccdTab1
Help on using the menu for changing contrastsMenu.changecontr
Help on using the menu for deleting columnsMenu.colremove
Contour plots for linear models with quantitative regressorsMenu.contour
Using display design menuMenu.display
Menu for generating D-optimal designsMenu.cand Menu.Dopt
Basic information for creation of D-optimal DesignsMenu.DoptTab1
Help on using the menu for (half) normal effects plotsMenu.EffectsPlots
Exporting and importing DesignsMenu.ExpImp
Using the export menuMenu.exportTab
Menu for generating full factorial designsMenu.fac
How to use the factor details tab for 2-level and quantitative designsMenu.FacDetails2Tab
How to use the factor details tab for general designsMenu.FacDetailsGenTab
Basic information for full factorial designsMenu.facTab1
Menu for generating regular fractional factorial 2-level designsMenu.FrF2level
Basic information for regular (fractional) factorial 2-level designsMenu.FrF2levelTab1
Estimable 2fis for regular (fractional) factorial 2-level designsMenu.FrF2levelTabEstimable
General factorial designsMenu.General
Help on using the menu for 2-level main effects and interaction plotsMenu.IAPlot
Using the import menuMenu.import
Re-importing an exported design with the R-CommanderMenu.importrdacsv
Inspecting the active designMenu.Inspect
Menu for generating latin hypercube samples for quantitative factorsMenu.lhs
Basic information for latin hypercube samplesMenu.lhsTab1
RcmdrPlugin.DoE Linear Model Dialog for experimental dataMenu.linearModelDesign
Using the menu for loading cataloguesMenu.loadcatlg
Using the export menuMenu.mExport
Using the import menuMenu.mImport
Using the linear model menuMenu.model
Modifying designsMenu.Modify
Menu for generating orthogonal main effects designsMenu.oa
Basic information for orthogonal main effects designsMenu.oaTab1
Optimal designsMenu.Optimal
Help on using the menu for Taguchi inner-outer array designsMenu.param
Menu for generating non-regular fractional factorial 2-level designsMenu.pb2level
Basic information for 2-level screening designsMenu.pb2levelTab1
Pick the cube portion from a central composite designMenu.pickcube
Help on using the menu for plotting selected factorsMenu.plot
Analyze designs for quantitative factorsMenu.QuantDesignAnalyze
Designs specifically tailored to quantitative factorsMenu.Quantitative
Help on using the menu for response selectionMenu.responses
RcmdrPlugin.DoE response surface model Dialog for experimental dataMenu.rsm
Using the response surface model menuMenu.rsmmodel
Using the steepest slope menuMenu.steepest
Using the summarize menuMenu.summarize
Help on using the menu for tabulating selected factorsMenu.tab
Help on using R-Commander menusMenus
Menu for main effects and interaction plots for general factorial designsPlotMeansDoE.menu