You didn't do what Prof. Ripley suggested - adding a ... argument. Here's a crude version of what you want; I'm sure there's a more elegant solution for passing the needed data to the panel function.
panel.cor <- function(x, y, digits=2, prefix="", splitvar, col.cor, ...) { usr <- par("usr"); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) r <- abs(cor(x, y)) if(!missing(splitvar)) { r <- c(r, abs(sapply(lapply(split(cbind.data.frame(x, y), splitvar), cor), function(x)x[1,2]))) } txt <- format(c(r, 0.123456789), digits=digits)[1:4] txt <- paste(prefix, txt, sep="") if(missing(col.cor)) col.cor <- c("black", "red", "green3", "blue") for(i in 1:length(txt)) { text(0.5, (1/(length(txt)+1))*i, txt[i], col = col.cor[i]) } } pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", pch = 21, bg = c("red", "green3", "blue")[unclass(iris$Species)], lower.panel=panel.cor, splitvar=iris$Species) On Mon, Jan 5, 2009 at 5:32 PM, herwig <bachmannher...@hotmail.com> wrote: > > Dear Prof. Ripley, > > thanks for your reply. > Unfortunately I still was not able to solve the problem. > I tried it with the Iris data and you can find the code below: > >> panel.cor <- function(x, y, digits=2, prefix="", cex.cor) > > { > usr <- par("usr"); on.exit(par(usr)) > par(usr = c(0, 1, 0, 1)) > r <- abs(cor(x, y)) > txt <- format(c(r, 0.123456789), digits=digits)[1] > txt <- paste(prefix, txt, sep="") > if(missing(cex.cor)) cex.cor <- 0.8/strwidth(txt) > text(0.5, 0.5, txt, cex = cex.cor * r) > } > > pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", > pch = 21, bg = c("red", "green3", "blue")[unclass(iris$Species)], > lower.panel=panel.cor ) > > What I would ideally like to have is that the upper panel shows the plot > with the iris$Species color coded and the lower panel showing the > correlation coefficients for the total data in the plot, but also for the > each iris$Species with the same color code as in the upper panels. > So the lower panel should therefore actually show 4 correlation coefficients > in each panel (color coded); It does not need to be sized according to the > value of the correlation coefficient as shown in the example above. > Any help with this would be appreciated a lot, > > Kind regards, > > Herwig > > > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.