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

Obtaining and Installing R

http://www.r-project.orgCRAN is the Comprehensive R Archive Network where you will find the R installation package and all verified R packages. Installation of R is then straightforward, either from source or from a pre-compiled binary package. The installation of R itself is covered in See Section .

Be aware though that you can even run R without installing it! The http://dirk.eddelbuettel.com/quantian.htmlQuantian live CD can be used to boot your computer and run GNU/Linux from the CD, from where you can start up R and run it over data on your hard disk. All of this can be done without touching what ever operating system is already installed on your hard disk. If you like what you see (and it will run slower than a proper install) you can then install it properly.

We briefly review the installation of R here.

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