Move statistical portions of censorship detector to R from python
I would like to make our approach to censorship detection more inline with how we do torperf: I'd like to do pre-processing of the data in python, and then do the actual stats in R. I think it will be easier to follow and extend the actual math. I am in the process of considering additional statistical methods of anomaly detection, and R will be better suited towards examining multiple methods and graphing them for comparison and visualization