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

Stairs Plot

Another simple example plotting a sequence of numbers uses stairs (type="s") to give a city landscape type of plot.

[width=0.8]rplot-line

pdf("graphics/rplot-line.pdf")
  l = c(1, 2, 3, 4, 5, 4, 5, 3, 6, 2, 3, 4, 8, 2, 1)
  plot(l, type="b", xlab="Days", ylab="Services")
dev.off()

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

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