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

Matrix Data

The following example illustrates the use of a matrix as the source of the data to be plotted. The matrix has three columns, one for each of the items of interest. The rows correspond to observations. We want to plot the values for each item across the observations, joingin the points with a line. Key features to note include the axis labels always being horizontal (las=1) and each line being a solid line (lty=1).

[width=0.5]rplot-matplot

# Suggested by Chuck Cleland 
pdf("graphics/rplot-matplot.pdf")
  myFrame <- data.frame(lowest = c(0.107, 0.091, 0.126),
                        second = c(0.115, 0.107, 0.103),
                        third = c(0.123, 0.115, 0.126),
                        fourth = c(0.115, 0.142, 0.129),
                        highest = c(0.166, 0.179, 0.142),
                        sig = c(0.000, 0.000, 0.031))
  rownames(myFrame) <- c("INAS", "MMA", "DMA")
  par(las=1)
  matplot(t(myFrame[,-6]), type="l", xaxt="n", ylab="INMET",
          col=c("black", "red", "blue"), lty=c(1,1,1))
  axis(side=1, at=1:5, names(myFrame)[1:5])
  legend(1, 0.18, rownames(myFrame), lty=c(1,1,1),
         col=c("black", "red", "blue"))
dev.off()

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

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