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

Installing GTK, R, and Rattle

Rattle is distributed as an R package and is freely available from CRAN,^A.1 the Comprehensive R Archive Network. The latest development version is also available as an R package from Togaware.^A.2 Whilst this is a development version, it is generally quite stable, and bugs are fixed in this version very quickly by the community. The source code is freely available from Google Code,^A.3 where it is also possible to join the Rattle users mailing list.

Below we cover the installation of the system. At first this can seem quite daunting, but the process is straightforward and we do cover various contingencies and operating system differences all in one go! We recommend the Ubuntu^A.4 GNU/Linux operating system as an easy to use, fully featured, and well supported environment distribution based on the Debian^A.5 distribution.

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