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

Graphics Parameters

The par function in R applies various options to the current graphics device. It can not be set until the device has been created. It is used to change or add to the appearance of a plot, or to obtain information about a plot. For example, the usr option returns the coordinates of the plotting region:

> plot(rnorm(50))
> par("usr")
[1] -0.960000 51.960000 -3.245599  2.852000

This is useful when you want to place additional objects on the plot--it will tell you the extent of the coordinates currently in use.

When using the lattice package note that instead of par we use trellis.par.get and trellis.par, as in:

> library(lattice)
> mt <- trellis.par.get("par.main.text")
> mt$cex <- 0.7
> trellis.par.set("par.main.text", mt)

The output of trellis.par.get without arguments lists all the possible options. Calling show.settings can also help.

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