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

Other Graphic Elements

Place onto a plot text in a rect box with background shading, using strwidth to determine the rectangles coordinates:

text <- "Some Text"; x <- 10; y <- 10
xpad <- 0.1; ypad <- 1.0; bg="wheat"
w <- strwidth(text) + xpad*strwidth(text)
h <- strheight(text) + ypad*strheight(text)
rect(x-w/2, y-h/2, x+w/2, y+h/2, col=bg)
text(x, y, text)

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