Saaien Tist

I have been a bit frustrated lately by the fact that for many of my analyses I have to write a ruby script to mangle my data first, then resort to R to add a statistic to each of the datapoints, go back to ruby to mangle the result, repeat, rinse, and finally make plots in R. Of course as a bioinformatician you're used to that and if necessary you write wrapper/pipeline scripts to handle this all for you if you know that this won't be the only time you have to do the analysis. But often you don't know. And breaking the analyses up into chunks just based on the tool you use will help you losing overview.

Being relatively new to R (less than 2 years), some of its idiosyncracies keep biting me.