DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Introduction Data Mining with Rattle Data Exploring Data Transforming Data Cluster Analysis Association Analysis Classification and Regression Models Evaluation and Deployment Issues Moving into R Troubleshooting Beyond Rattle R Data Graphics in R Understanding Data Preparing Data Descriptive and Predictive Analytics Issues Evaluating Models Reporting Cluster Analysis Text Mining Text Mining Algorithms Bagging Bayes Classifier Cluster Analysis Conditional Trees Hierarchical Clustering K-Nearest Neighbours Linear Models Neural Networks Support Vector Machines Open Products AlphaMiner Borgelt Data Mining Suite KNime R Rattle Weka Closed Products C4.5 Clementine Equbits Foresight GhostMiner InductionEngine ODM Enterprise Miner Statistica Data Miner TreeNet Virtual Predict Appendicies Installing GTK, R, and Rattle Glossary Bibliography Index

Install R MS/Windows Version Under GNU/Linux

Installing the MS/Windows version of R on a GNU/Linux machine seems like a very odd thing to do, but there are times when you may need to share a high quality graphics file in a format that your MS/Windows limited colleagues can use. Only the MS/Windows version of R can generate MS/Windows Metafiles (with filename extension wmf and emf). As with many things in GNU/Linux, which is all about freedom, you can install the MS/Windows version of R using the GNU/Linux package called Wine. The steps are (replace http://cran.au.r-project.org/ with an archive near you--see http://cran.r-project.org/mirrors):

[language=csh,basicstyle=\ttfamily\tiny]
$ wget http://cran.au.r-project.org/bin/windows/base/R-2.4.1-win32.exe
$ wine R-2.3.1-win32.exe
$ wine ~/.wine/fake_windows/Program\ Files/R/2.4.1/bin/Rgui.exe

The resulting window will be running the MS/Windows application on your GNU/Linux desktop.

Inside the Rgui you can create a MS/Windows Metafile image in this way:

> win.metafile("sample.emf")
> plot(iris$Petal.Length, iris$Petal.Width)
> dev.off()

But now we are ahead of ourselves! These three lines illustrate sentences that we write in order to command R to do things for us. The `>' is a prompt which indicates that R is waiting for our instructions. We type in what follows (e.g., XnullXR functionsR functions (R function)R functionsR libraries (R library)R functionsR option (R option)R functionsR packages (R package)R functionsDatasets (Dataset)R functionsR functionsplot) which instructs R to produce a plot. The information between the brackets tell R what to plot--they are the command arguments.

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