This and the following chapter are mainly aimed at SAS, SPSS, or Minitab users, and especially those employing the languages R or S for statistical computing. We will develop an environment for working effectively in the field of data analysis, with the aid of IPython sessions powered up with the following resources from the SciPy stack:
scipy.stats.mstats(the latter for data provided by masked arrays), together with the module
statsmodels, for data exploration, estimation on statistical models, and performing statistical tests in a numerical setting. The package ...