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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
- 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
- MAc- http://cran.r-project.org/web/packages/RcmdrPlugin.MAc/RcmdrPlugin.MAc.pdf
- qcc- http://cran.r-project.org/web/packages/RcmdrPlugin.qcc/RcmdrPlugin.qcc.pdf and http://cran.r-project.org/web/packages/qcc/qcc.pdf
- 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-
Glossary for DoE terminology as used in
RcmdrPlugin.DoE Linear Model Dialog for
RcmdrPlugin.DoE response surface model Dialog
for experimental data
R-Commander plugin package that implements
design of experiments facilities from packages
DoE.base, FrF2 and DoE.wrapper into the
Functions used in menus
Internal RcmdrPlugin.doex objects
Install the DOEX Rcmdr Plug-In
Internal functions for menu system of
Help with EHES sampling
Graphically export objects to LaTeX or HTML
Internal RcmdrPlugin.FactoMineR objects
Graphical User Interface for FactoMineR
An IPSUR Plugin for the R Commander
Meta-Analysis with Correlations (MAc) Rcmdr
Meta-Analysis with Mean Differences (MAd) Rcmdr
RcmdrPlugin.orloca: A GUI for orloca-package
RcmdrPlugin.orloca: A GUI for orloca-package
RcmdrPlugin.orloca.es: Una interfaz grafica
para el paquete orloca
Install the Demos Rcmdr Plug-In
Internal RcmdrPlugin.qual objects
Install the quality Rcmdr Plug-In
Internal RcmdrPlugin.SensoMineR objects
Graphical User Interface for SensoMineR
RcmdrPlugin.SLC: A GUI for slc-package
RcmdrPlugin.SLC: A GUI for SLC R package
Efficiently search R Help pages
RcmdrPlugin.steepness: A GUI for
steepness-package (internal functions)
RcmdrPlugin.steepness: A GUI for steepness R
Internal RcmdrPlugin.survival Objects
Rcmdr Plug-In Package for the survival Package
Install the Demos Rcmdr Plug-In
- New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg (r-bloggers.com)
- Reasons for Transitioning to Vim: Bringing LaTeX, R, Sweave and More under One Roof (r-bloggers.com)
My annual traffic to this blog was almost 99,000 . Add in additional views on networking sites plus the 400 plus RSS readers- so I can say traffic was 1,20,000 for 2010. Nice. Thanks for reading and hope it was worth your time. (this is a long post and will take almost 440 secs to read but the summary is just given)
My intent is either to inform you, give something useful or atleast something interesting.
Sandro Saita from http://www.dataminingblog.com/ just named me for an award on his blog (but my surname is ohRi , Sandro left me without an R- What would I be without R :)) ).
Aw! I am touched. Google for “Data Mining Blog” and Sandro is the best that it is in data mining writing.
DMR People Award 2010
There are a lot of active people in the field of data mining. You can discuss with them on forums. You can read their blogs. You can also meet them in events such as PAW or KDD. Among the people I follow on a regular basis, I have elected:
He has been very active in 2010, especially on his blog . Good work Ajay and continue sharing your experience with us!”
What did I write in 2010- stuff.
What did you read on this blog- well thats the top posts list.
2009-12-31 to Today
So how do people come here -
well I guess I owe Tal G for almost 9000 views ( incidentally I withdrew posting my blog from R- Bloggers and Analyticbridge blogs – due to SEO keyword reasons and some spam I was getting see (below))
http://r-bloggers.com is still the CAT’s whiskers and I read it a lot.
I still dont know who linked my blog to a free sex movie site with 400 views but I have a few suspects.
2009-12-31 to Today
Still reading this post- gosh let me sell you some advertising. It is only $100 a month (yes its a recession)
Advertisers are treated on First in -Last out (FILO)
I have been told I am obsessed with SEO , but I dont care much for search engines apart from Google, and yes SEO is an interesting science (they should really re name it GEO or Google Engine Optimization)
Apparently Hadley Wickham and Donald Farmer are big keywords for me so I should be more respectful I guess.
Search Terms for 365 days ending 2010-12-31 (Summarized)
2009-12-31 to Today
|test drive a chrome notebook||467|
|test drive a chrome notebook.||215|
|wps sas lawsuit||158|
|google maps jet ski||123|
|test drive chrome notebook||96|
|sas wps lawsuit||85|
|chrome notebook test drive||83|
|best statistics software||74|
|google maps jetski||72|
|donald farmer microsoft||51|
|best statistical software||49|
What about outgoing links? Apparently I need to find a way to ask Google to pay me for the free advertising I gave their chrome notebook launch. But since their search engine and browser is free to me, guess we are even steven.
Clicks for 365 days ending 2010-12-31 (Summarized)
2009-12-31 to Today
so in 2010,
SAS remained top daddy in business analytics,
R made revolutionary strides in terms of new packages,
JMP launched a new version,
SPSS got integrated with Cognos,
Oracle sued Google and did build a great Data Mining GUI,
Libre Office gave you a non Oracle Open office ( or open even more office)
2011 looks like a fun year. Have safe partying .
- IBM SPSS 19 Now Available to the Global Academic Community via e-academy’s OnTheHub eStore (prweb.com)
- ACM Data Mining Camp 3 (revolutionanalytics.com)
- Accessing R from Python using RPy2 (r-bloggers.com)
- Mining of Massive Data Sets (kinlane.com)
- 5 FeedBurner Alternatives You Should Know About (techie-buzz.com)
- Uncertainty, Risk, Statistics and Data Mining (zyxo.wordpress.com)
- ‘Data Mining’ Gains Traction in Education (edreformer.com)
- If you cut your RSS short I will ignore your post (chrisabraham.com)
- Solar trends for 2011 (cleanbreak.ca)
Here is a free R textbook called IPSUR-
IPSUR stands for Introduction to Probability and Statistics Using R, ISBN: 978-0-557-24979-4, which is a textbook written for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra in a few places. Attendees of the class include mathematics, engineering, and computer science majors.
IPSUR is FREE, in the GNU sense of the word. Hard copies are available for purchase here from Lulu and will be available (coming soon) from the other standard online retailers worldwide. The price of the book is exactly the manufacturing cost plus the retailers’ markup. You may be able to get it even cheaper by downloading an electronic copy and printing it yourself, but if you elect this route then be sure to get the publisher-quality PDF from theDownloads page. And double check the price. It was cheaper for my students to buy a perfect-bound paperback from Lulu and have it shipped to their door than it was to upload the PDF to Fed-Ex Kinkos and Xerox a coil-bound copy (and on top of that go pick it up at the store).
If you are going to buy from anywhere other than Lulu then be sure to check the time-stamp on the copyright page. There is a 6 to 8 week delay from Lulu to Amazon and you may not be getting the absolute latest version available.
Refer to the Installation page for instructions to install an electronic copy of IPSUR on your personal computer. See the Feedback page for guidance about questions or comments you may have about IPSUR.
Also see http://ipsur.r-forge.r-project.org/rcmdrplugin/index.php for the R Cmdr Plugin
This plugin for the R Commander accompanies the text Introduction to Probability and Statistics Using R by G. Jay Kerns. The plugin contributes functions unique to the book as well as specific configuration and functionality to R Commander, the pioneering work by John Fox of McMaster University.
RcmdrPlugin.IPSUR’s primary goal is to provide a user-friendly graphical user interface (GUI) to the open-source and freely available R statistical computing environment. RcmdrPlugin.IPSUR is equipped to handle many of the statistical analyses and graphical displays usually encountered by upper division undergraduate mathematics, statistics, and engineering majors. Available features are comparable to many expensive commercial packages such as Minitab, SPSS, and JMP-IN.
Since the audience of RcmdrPlugin.IPSUR is slightly different than Rcmdr’s, certain functionality has been added and selected error-checks have been disabled to permit the student to explore alternative regions of the statistical landscape. The resulting benefit of increased flexibility is balanced by somewhat increased vulnerability to syntax errors and misuse; the instructor should keep this and the academic audience in mind when usingRcmdrPlugin.IPSUR in the classroom
It was really nice to see the latest version of R Excel at http://rcom.univie.ac.at/ and bundled together in an aptly named package called R and Friends.
The look and feel of the package as well as ease of installing are really professional. I also liked the commercial equivalent at http://www.statconn.com/
However much older-guardians and die- hards of command line, feel that GUI is like putting lipstick on a pig, but we respectfully demur.
What does R Excel do? Well for one it can put the R Commander Interface INSIDE your Excel Spreadsheet. That makes it easy to use and a familiar interface even if you are newbie to R- (assuming you have done some Excel)
Download the latest version here
This package will automatically install and configure
- R 2.11.1
- rscproxy 1.3-1
- rcom 2.2-1
It will also download and install a suitable version of the statconnDCOM server and of RExcel during installation. Therefore you will need a working Internet connection during the installation process.
This version of RAndFriends was created 20100516.
We also give you information how to download all sources for R and the R packages included in RAndFriends.
Also read a paper on R and SAS interoperability (using HMisc package from Dr Harrell) at Holland Numerics
The list of top Statistical Softwares (GUI) is continued below. You can see the earlier post here
6. R Commander- While initially aimed at being a basic statistics GUI, the tremendous popularity of R Commander and the extensions in the form of plugins has helped make this one of the most widely used GUI. In short if you dont know ANY R, and still want to do basic descriptive stats and modeling this will come in handy- with an added script window for custom code for advanced users and extensions like that for DoE (design of experiments) and QCC (Quality Control) packages the e-plugins are a great way to extend this. I suspect the only thing holding it back is Dr Fox and the rest of R Core’s reluctance to fully embrace GUI as a software medium. You can read his earlier interview here-http://decisionstats.wordpress.com/2009/09/14/interview-professor-john-fox-creator-r-commander/
Technically it is possible to convert just about any package to a GUI menu in R Commander using the e-plugins.
7. SAS GUIs-
SAS Enterprise Guide was the higher end (and higher priced solution) to enhanced editor’s lack of menu driven commands. It works but many people I know prefer the text editor just as well.
Even the Base SAS Enhanced Editor does have some menus for importing data, or querying etc, but it is rarely confused for being a GUI.
8. Oracle Data Miner and Knime
I like both the ODM and Knime but I find the lack of advertising or promotional support puzzling. Both these softwares can do well to combine technical excellence with some marketing. And since they are both free you can check them out yourself here
You can download it here-(note- the Oracle Web Site itself is a bit aging :) )
Knime is the open source GUI which can be found here-
Another R GUI- it stands out on the comprehensive ways you can customize your code in menus rather than writing all or learning by rote the syntax.
you can see it below. I recommend this GUI over other GUIs especially if you are new to R and do more data visualization which needs custom graphics.
10. Red R and R JGR/ Deducer
Red R and RJGR/Deducer are both up and coming GUIs for R. While REd R is R version for Enterprise Miner, Deducer is coming up with a new GUI for ggplot the powerful graphics package in R.
Some GUIs excluded from this list are – Statistica, MatLab, EViews(?) because I dont really work with them, and thought it best to turn them over to someone who knows them better.
Hope this list of GUIs helps you- note most of the softwares can be learnt within a quick hour and two if you know basic software skills/data manipulation so going through the GUI list is a faster way of adding value to your resume/knowledge base as well.