I came accross this really nice library of R graphs and scripts. One that I really liked is a scatter plot with histograms for each of the axes. The code to generate such a graph is the following:
Dataset < - read.table("/home/ram/foo2_200.csv", header=FALSE, sep=",")
x <- as.numeric(Dataset$V2)
y <- as.numeric(Dataset$V3)
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(3,3,1,1))
plot(x,y,xlab="",ylab="")
par(mar=c(0,3,1,1))
xhist <- hist(x, breaks=seq(min(x),max(x),(max(x)-min(x))/24), plot=FALSE)
barplot(xhist$count,axes=FALSE,space=0,col=heat.colors(24))
par(mar=c(3,0,1,1))
yhist <- hist(y, breaks=seq(min(y),max(y),(max(y)-min(y))/24), plot=FALSE)
barplot(yhist$count,axes=FALSE,space=0,horiz=TRUE,col=heat.colors(24))
And the result looks like this:
Now how do you add boxplots on top of the hist’s ?!
In any case, good script, thanks for sharing.
Comment by Love Hummus — April 18, 2007 @ 3:12 pm