DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface List of Figures List of Tables Process . Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Conditional Trees Decision Trees Hierarchical Clustering Kernel Methods K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products Borgelt Data Mining Suite R Rattle Weka Closed Products C4.5 Clementine Enterprise Miner Equbits Foresight GhostMiner InductionEngine ODM Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

Clustered Box Plot

pdf("graphics/rplot-bwplot.pdf")
mydata <- data.frame(Y = rnorm(3*1000),
                     INDFACT =rep(c("A", "B", "C"), each=1000),
                     CLUSFACT=factor(rep(c("M","F"), 1500)))
library(lattice)
trellis.device(new=FALSE, col=FALSE)
bwplot(Y ~ INDFACT | CLUSFACT, data=mydata, layout=c(2,1))
dev.off()

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