Power Analysis Module

The module imperially estimates the power of a dataset using Monte Carlo simulation. The functions take test, a function which accepts a list of sample ids or values, and returns a p-value.

In conjunction with Statsmodels, the code can be used to generate power curves, for a sufficiently large number of samples. (Depending on the effect size, about 20 - 30 in each group).

I will move the statsmodel dependent example into an ipython notebook and either keep it in one of my repositories or else submit to Greg's Introduction to Applied Bioinformatics, unless statsmodel can be added.

*This code likely needs to be optimized, given the iterative nature*
Your function names are excellent, but they are overwritten by the docstring in nosetests. Can you remove all of the docstrings for the tests? I know it sounds strange, but the docstrings hide even the source of the test, so if one were to fail, it would require grepping for the string to identify what test is actually failing.