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

Aligned Plots

The next example illustrates how to make use of information in the usr parameter (the x and y extent of the current plot) to align columns in three separate plots. Here we create some random data and arrange it into a data frame for 8 years of observations. Using the mfrow option we indicate that we want 3 rows and 1 column of plots. We plot the first boxplot and save the value of usr. A new plot canvas is created and it's usr values is set to the same as the first plot so that we can specify locations to place the following plots (using at). We also illustrate the use of the subset function.

[width=0.7]rplot-multi-align

dat <- rnorm(80)
years <- rep(1991:1998, each=10)
ds <- cbind(dat, years)
par(mfrow=c(3, 1))
boxplot(dat ~ years, ds)
usr <- par("usr")
plot.new()
par(usr=usr)
boxplot(dat ~ years, subset(ds, years %in% 1992:1998), at=2:8, add=TRUE)
plot.new()
par(usr=usr)
boxplot(dat ~ years, subset(ds, years %in% 1993:1998), at=3:8, add=TRUE)

http://rattle.togaware.com/code/rplot-multi-align.R

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