R for Pythonistas

This gives a nice translation of commands between R and Python-numpy.  Numpy for R

Installing JAGS and rjags on Ubuntu 12.04

I ran into a few issues earlier trying to install JAGS/rjags on Ubuntu. This set of instructions assumes you already have R installed on your system

• Download and Install R (32/64) -bit
• Download the Bayesian Sampling Program JAGS from here : Extract the contents of the tar file and install the JAGS program by running the following commands from the JAGS root folder.
• Download and install the rjags package : I tried install.packages('rjags') in R, which failed initially on my system (Ubuntu). Now, this may work if you're on a Mac or Windows. If you experience the same problems, you need to download the appropriate rjags tar file and and then install it manually.
The second line configures rjags for (32/64) bit R. If you are running 32-bit R be sure to replace \lib{64} with \lib and for 64-bit R replace \lib{64} with \lib64. This is very important as you could lose a few nights of sleep here trying to figure out why you can't link the rjags library with the JAGS program. This comes courtesy of Rrasch. 

JAGS is a program that is used for the analysis of Bayesian Hierarchical Models using MCMC (Markov Chain Monte Carlo) Simulations. I used JAGS over BUGS(WinBUGS/OpenBUGS) because it is cross platform, runs on Linux and it appears to be more robust among other reasons.