DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home List of Figures List of Tables Data Mining Data Mining Data Mining with Rattle Introduction Data Transform Explore A Model Building Framework Unsupervised Modelling Two Class Models Multi Class Models Regression Models Text Mining Evaluation and Deployment Moving into R Troubleshooting R for the Data Miner R Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Cluster Analysis Conditional Trees Hierarchical Clustering K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining 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 Glossary Bibliography Index

Install 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., plot) 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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