R Commander ( see paper by Prof J Fox at http://www.jstatsoft.org/v14/i09/paper ) is a well known and established graphical user interface to the R analytical environment.

While the original GUI was created for a basic statistics course, the enabling of extensions (or plug-ins http://www.r-project.org/doc/Rnews/Rnews_2007-3.pdf ) has greatly enhanced the possible use and scope of this software. Here we give a list of all known R Commander Plugins and their uses along with brief comments.

- DoE – http://cran.r-project.org/web/packages/RcmdrPlugin.DoE/RcmdrPlugin.DoE.pdf
- doex
- EHESampling
- epack- http://cran.r-project.org/web/packages/RcmdrPlugin.epack/RcmdrPlugin.epack.pdf
- Export- http://cran.r-project.org/web/packages/RcmdrPlugin.Export/RcmdrPlugin.Export.pdf
- FactoMineR
- HH
- IPSUR
- MAc- http://cran.r-project.org/web/packages/RcmdrPlugin.MAc/RcmdrPlugin.MAc.pdf
- MAd
- orloca
- PT
- qcc- http://cran.r-project.org/web/packages/RcmdrPlugin.qcc/RcmdrPlugin.qcc.pdf and http://cran.r-project.org/web/packages/qcc/qcc.pdf
- qual
- SensoMineR
- SLC
- sos
- survival-http://cran.r-project.org/web/packages/RcmdrPlugin.survival/RcmdrPlugin.survival.pdf
- SurvivalT
- Teaching Demos

Note the naming convention for above e plugins is always with a Prefix of “RCmdrPlugin.” followed by the names above

Also on loading a Plugin, it must be already installed locally to be visible in R Commander’s list of load-plugin, and R Commander loads the e-plugin after restarting.Hence it is advisable to load all R Commander plugins in the beginning of the analysis session.

However the notable E Plugins are

1) DoE for Design of Experiments-

Full factorial designs, orthogonal main effects designs, regular and non-regular 2-level fractional

factorial designs, central composite and Box-Behnken designs, latin hypercube samples, and simple D-optimal designs can currently be generated from the GUI. Extensions to cover further latin hypercube designs as well as more advanced D-optimal designs (with blocking) are planned for the future.

2) Survival- This package provides an R Commander plug-in for the survival package, with dialogs for Cox models, parametric survival regression models, estimation of survival curves, and testing for differences in survival curves, along with data-management facilities and a variety of tests, diagnostics and graphs.

3) qcc -GUI for Shewhart quality control charts for continuous, attribute and count data. Cusum and EWMA charts. Operating characteristic curves. Process capability analysis. Pareto chart and cause-and-effect chart. Multivariate control charts

4) epack- an Rcmdr “plug-in” based on the time series functions. Depends also on packages like , tseries, abind,MASS,xts,forecast. It covers Log-Exceptions garch

and following Models -Arima, garch, HoltWinters

5)Export- The package helps users to graphically export Rcmdr output to LaTeX or HTML code,

via xtable() or Hmisc::latex(). The plug-in was originally intended to facilitate exporting Rcmdr

output to formats other than ASCII text and to provide R novices with an easy-to-use,

easy-to-access reference on exporting R objects to formats suited for printed output. The

package documentation contains several pointers on creating reports, either by using

conventional word processors or LaTeX/LyX.

6) MAc- This is an R-Commander plug-in for the MAc package (Meta-Analysis with

Correlations). This package enables the user to conduct a meta-analysis in a menu-driven,

graphical user interface environment (e.g., SPSS), while having the full statistical capabilities of

R and the MAc package. The MAc package itself contains a variety of useful functions for

conducting a research synthesis with correlational data. One of the unique features of the MAc

package is in its integration of user-friendly functions to complete the majority of statistical steps

involved in a meta-analysis with correlations. It uses recommended procedures as described in

The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).

A query to help for ??Rcmdrplugins reveals the following information which can be quite overwhelming given that almost 20 plugins are now available-

RcmdrPlugin.DoE::DoEGlossary

Glossary for DoE terminology as used in

RcmdrPlugin.DoE

RcmdrPlugin.DoE::Menu.linearModelDesign

RcmdrPlugin.DoE Linear Model Dialog for

experimental data

RcmdrPlugin.DoE::Menu.rsm

RcmdrPlugin.DoE response surface model Dialog

for experimental data

RcmdrPlugin.DoE::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

RcmdrPlugin.DoE::RcmdrPlugin.DoEUndocumentedFunctions

Functions used in menus

RcmdrPlugin.doex::ranblockAnova

Internal RcmdrPlugin.doex objects

RcmdrPlugin.doex::RcmdrPlugin.doex-package

Install the DOEX Rcmdr Plug-In

RcmdrPlugin.EHESsampling::OpenSampling1

Internal functions for menu system of

RcmdrPlugin.EHESsampling

RcmdrPlugin.EHESsampling::RcmdrPlugin.EHESsampling-package

Help with EHES sampling

RcmdrPlugin.Export::RcmdrPlugin.Export-package

Graphically export objects to LaTeX or HTML

RcmdrPlugin.FactoMineR::defmacro

Internal RcmdrPlugin.FactoMineR objects

RcmdrPlugin.FactoMineR::RcmdrPlugin.FactoMineR

Graphical User Interface for FactoMineR

RcmdrPlugin.IPSUR::IPSUR-package

An IPSUR Plugin for the R Commander

RcmdrPlugin.MAc::RcmdrPlugin.MAc-package

Meta-Analysis with Correlations (MAc) Rcmdr

Plug-in

RcmdrPlugin.MAd::RcmdrPlugin.MAd-package

Meta-Analysis with Mean Differences (MAd) Rcmdr

Plug-in

RcmdrPlugin.orloca::activeDataSetLocaP

RcmdrPlugin.orloca: A GUI for orloca-package

(internal functions)

RcmdrPlugin.orloca::RcmdrPlugin.orloca-package

RcmdrPlugin.orloca: A GUI for orloca-package

RcmdrPlugin.orloca::RcmdrPlugin.orloca.es

RcmdrPlugin.orloca.es: Una interfaz grafica

para el paquete orloca

RcmdrPlugin.qcc::RcmdrPlugin.qcc-package

Install the Demos Rcmdr Plug-In

RcmdrPlugin.qual::xbara

Internal RcmdrPlugin.qual objects

RcmdrPlugin.qual::RcmdrPlugin.qual-package

Install the quality Rcmdr Plug-In

RcmdrPlugin.SensoMineR::defmacro

Internal RcmdrPlugin.SensoMineR objects

RcmdrPlugin.SensoMineR::RcmdrPlugin.SensoMineR

Graphical User Interface for SensoMineR

RcmdrPlugin.SLC::Rcmdr.help.RcmdrPlugin.SLC

RcmdrPlugin.SLC: A GUI for slc-package

(internal functions)

RcmdrPlugin.SLC::RcmdrPlugin.SLC-package

RcmdrPlugin.SLC: A GUI for SLC R package

RcmdrPlugin.sos::RcmdrPlugin.sos-package

Efficiently search R Help pages

RcmdrPlugin.steepness::Rcmdr.help.RcmdrPlugin.steepness

RcmdrPlugin.steepness: A GUI for

steepness-package (internal functions)

RcmdrPlugin.steepness::RcmdrPlugin.steepness

RcmdrPlugin.steepness: A GUI for steepness R

package

RcmdrPlugin.survival::allVarsClusters

Internal RcmdrPlugin.survival Objects

RcmdrPlugin.survival::RcmdrPlugin.survival-package

Rcmdr Plug-In Package for the survival Package

RcmdrPlugin.TeachingDemos::RcmdrPlugin.TeachingDemos-package

Install the Demos Rcmdr Plug-In