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

Installing on Debian GNU/Linux

In short, on a Debian GNU/Linux system, the premier GNU/Linux system, R has been packaged by Dirk Eddelbuettel, and is part of the main Debian distribution. To install it simply install the r-recommended package using any of Debian's package management tools. For example, enter the following command into a terminal window:

$ wajig install r-recommended

This will install a basic system. There are, though, over 95 individual R packages to add to your installation as you need. These include, for example:

$ wajig install r-cran-cluster r-cran-hmisc r-cran-rpart

To install most of those available:

$ wajig listnames ^r- > Rpackages
$ wajig install-file Rpackages

Other packages can be installed from the CRAN archives directly using the install.packages function. See See Section  for details.

Support further development through the purchase of the PDF version of the book.
Brought to you by Togaware.