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Gist 2a60ff0d906a45ea03f0

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Aakeshavan
Last edited Feb 4, 2016
Created on Feb 4, 2016

This example visualizes statistical power analysis for multisite neuroimaging studies, plotting curves that show how power varies with different parameters like effect size, sample size, and number of sites. The notebook uses Python with `%pylab inline`, seaborn for styling, and custom functions from `euro.stats` such as `power_solver` and `get_power` to compute power values. It also integrates R via `rpy2` for statistical functions, and uses pandas DataFrames and NumPy arrays to handle data and generate the curves.

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