Compute a repeated measures anova in python by using R.
This package allows you to compute within-subject repeated measures analysis of variance. It uses R (via rpy2) to do so.
The package is tightly linked to occupy's datamat. The lm_anova function (which also computes Greenhouse-Geisser and Huynh-Feldt corrections) uses datamats as input. However, the aov function can be used without. The difference is:
* lm_anova -> Constructs a linear model in R and then uses Anova
from car package to compute the appropriate statistics
* aov -> Uses R's aov function to compute the anova
The functions are somewhat checked against SPSS. However, I only compared one dataset which gives pretty much the same result, but that is definetly not enough.
Only existent in the source file. Contact me (Niklas) if you have questions.
Copyright (C) 2012, Niklas Wilming
Licensed under GPLv2 or later, see http://www.gnu.org/licenses/gpl-2.0.txt for license text.