search for: lightsteelblue3

...t;-dat[,1] zehn<-seq(10,10000000,10) xmax<-max(dat1) ind<-min(which(zehn>=xmax)) zehnind<-zehn[ind] ticks<-seq(0,zehnind,10) par(las=1) par(mar=c(5,4.5+0.3529412*(max(nchar(colnames(dat1)))-1),1,1)) barplot(dat1,width=0.59,horiz=T,col=c("steelblue4","lightsteelblue3"),border="NA",axes=F,beside=T,xlim=c(0,zehnind),cex.names=1.2,ylim=c(0,10)) par(xpd=TRUE) abline(v = seq(10, zehnind, by = 10), col = "white") par(xpd=F) aa <- skala if(aa == "prozent") {axis(1,at=ticks,las=1,labels=paste(ticks,"%",sep=&qu...

By any chance has anyone put together the R code for reproducing the Firefox Downloads Analytics Map in R? Here is a link to an example: http://www.knitwareblog.com/wp-content/uploads/2008/06/firefox-3-download-map.jpg I'll try to track down the inputs, but I am interested in putting the code to produce this or something similar. Any hints about the best packages, or references to R Blog

..., "#8470FF", "lightslategray", "#778899", "lightslategrey", "#778899", "lightsteelblue", "#B0C4DE", "lightsteelblue1", "#CAE1FF", "lightsteelblue2", "#BCD2EE", "lightsteelblue3", "#A2B5CD", "lightsteelblue4", "#6E7B8B", "lightyellow", "#FFFFE0", "lightyellow1", "#FFFFE0", "lightyellow2", "#EEEED1", "lightyellow3", "#CDCDB4", "ligh...