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

Star Plot

[width=0.9]rplot-stars

# See http://zoonek2.free.fr/UNIX/48_R/04.html
pdf('graphics/rplot-stars.pdf')
  data(mtcars)
  palette(rainbow(12, s = 0.6, v = 0.75))
  stars(mtcars[, 1:7], len = 0.8, key.loc = c(12, 1.5),
        main = "Motor Vehicle Profiles", draw.segments = TRUE)
dev.off()

http://rattle.togaware.com/code/rplot-stars.R

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