[zman]

Mufi has the correct approach - Python is the better option for a beginner. It's much easier to understand and debug issues. Note that R was developed by statisticians and user friendliness wasn't a key consideration in constructing the syntax and grammar. You can accomplish a lot with a lot less code but you must have a strong foundation in higher math or statistics. Otherwise it'll be a challenge to debug the code and get the expected results. You can find the Bayesian probabilities or do a Monte Carlo simulation with only a few lines of code for instance, but without a thorough understanding of these concepts and how they work it'll be very difficult to get the code to work or know if you're getting the correct results at all. In Python you'll have to write a lot more code but you'll understand the steps much better.