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 Line Plots

A line plot displays a line corresponding to one or more variables over some series of data or entities. The matplot function will display multiple lines from data in a matrix. such a plot is useful in observing changes in variables over time or across entities.

In our example we plot just the first 50 entities in the wine dataset, and choose four variables to plot. These kinds of plots can get very crowded if we attempt to plot too much data. A legend is placed in an appropriate location (at the point $x=33, y=4.05$) using the legend function, where we also identify the colours, using col, to be the first four in the colour pallete, and the line types, using lty, as the firsts four line types.

[width=0.8]rplot-wine-matplot

load("wine.Rdata")
cols <- c("Ash", "Phenols", "Proanthocyanins", "Dilution")
matplot(1:50, wine[1:50,cols], type="l", ylab="Observed", xlab="Entity")
legend(30, 4.05, cols, col=1:4, lty=1:4)

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

Support further development through the purchase of the PDF version of the book.
Brought to you by Togaware.