It's a good idea to spruce up the graphics on R's webpage, but before we get too excited about improving how they are drawn, shouldn't we think about improving what has been drawn?
The original graphic showed off a wide variety of graphics which can be drawn with R, all applied to the swiss fertility dataset. Are these the kinds of graphics we would want to draw in a real analysis? I think a single parallel coordinate plot is more informative than this collection and would be easier to explain. If you want to try it for yourself, use the package iplots with data (swiss) and then ipcp(swiss). So maybe someone should suggest graphics from another dataset to adorn the webpage and demonstrate R's graphics capabilities. Antony Unwin Professor of Computer-Oriented Statistics and Data Analysis, Mathematics Institute, University of Augsburg, [[alternative HTML version deleted]] ______________________________________________ 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.