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

Probability Scale

pdf("graphics/rplot-proby.pdf")
  x <- sort(rnorm(100))
  y <- 0.5+(0:99)
  p <- c(0.01, 0.05, 0.5, 0.95, 0.99)
  qqplot(x, qnorm(0.005+0.01*(0:99)), yaxt="n")
  axis(2, at=qnorm(p), label=p, las=1)
dev.off()

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