If you happen to perform some machine learning, you might be interested in this simple and elegant tool by Tobias Sing et al. to visualize your SVMs (for example; e1071 is a great R package for SVMs) performance. You can install it by simply typing (as root in R) install.packages(”ROCR”) or download it and follow the instructions here http://rocr.bioinf.mpi-sb.mpg.de/. This package is very easy to use and there are nice PDF and PPT files on their website with examples and so on. You can plot simple ROC curves with a prediction and label vector, but you can also plot you 10-fold cross-validation and more complex plots. So, simple and great looking, informative plots, check it out.

Although, after spending several using Linux, you learn to prefer command line stuff over GUIs, they can still be nice to have, especially for programs you use rarely or if you’re a newbie. So for those you, for example, who want to migrate from Windows to Linux, and are not comfortable using command line, there is a nice R GUI, written in JAVA, that works well for linux, at least it was a breeze installing on my Ubuntu 8.10. It’s called JGR (Java GUI for R) and you can read about how to install it (and R and Java as well, although be aware that there are regularly new version of those so google recent guides on how to install those on your system) here http://jgr.markushelbig.org/JGR_on_Linux.html