NormalIndPower.solve_power(effect_size=None, nobs1=None, alpha=None, power=None, ratio=1.0, alternative='twosided')
[source]
solve for any one parameter of the power of a two sample ztest
exactly one needs to be None
, all others need numeric values
Parameters: 


Returns: 
value – The value of the parameter that was set to None in the call. The value solves the power equation given the remaining parameters. 
Return type: 
float 
The function uses scipy.optimize for finding the value that satisfies the power equation. It first uses brentq
with a prior search for bounds. If this fails to find a root, fsolve
is used. If fsolve
also fails, then, for alpha
, power
and effect_size
, brentq
with fixed bounds is used. However, there can still be cases where this fails.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.stats.power.NormalIndPower.solve_power.html