http://www.his.sunderland.ac.uk/~cs0her/Statistics/UsingLatticeGraphicsInR.htm
## Multiple variables in formula for grouped displays
xyplot(Sepal.Length + Sepal.Width ~ Petal.Length + Petal.Width | Species,
data = iris, scales = "free", layout = c(2, 2),
auto.key = list(x = .6, y = .7, corner = c(0, 0)))
## user defined panel functions
states <- data.frame(state.x77,
state.name = dimnames(state.x77)[[1]],
state.region = state.region)
xyplot(Murder ~ Population | state.region, data = states,
groups = state.name,
panel = function(x, y, subscripts, groups)
ltext(x = x, y = y, label = groups[subscripts], cex=1,
fontfamily = "HersheySans"))
http://learnr.wordpress.com/2009/08/18/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-13/
http://data.princeton.edu/R/gettingStarted.html
http://www.r-bloggers.com/5-minute-analysis-in-r-case-shiller-indices/
http://lmdvr.r-forge.r-project.org/figures/figures.html
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