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

Multiple Plots

Place three plots on a single plot with layout

[width=0.8]rplot-multi-hist

pdf("graphics/rplot-multi-hist.pdf")
layout(matrix(c(1, 1, 2, 3), 2, 2, byrow = TRUE))
hist(rnorm(100),col='blue')
hist(rnorm(50),col='blue')
hist(rnorm(60),col='blue')
dev.off()

http://rattle.togaware.com/code/rplot-multi-hist.R

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