def setup_class(cls):
res2 = Holder()
#example from Gplus documentation F-test ANOVA
#Total sample size:200
#Effect size "f":0.25
#Beta/alpha ratio:1
#Result:
#Alpha:0.1592
#Power (1-beta):0.8408
#Critical F:1.4762
#Lambda: 12.50000
#converted to res2 by hand
res2.f = 0.25
res2.n = 200
res2.k = 10
res2.alpha = 0.1592
res2.power = 0.8408
res2.method = 'Multiple regression power calculation'
cls.res2 = res2
cls.kwds = {'effect_size': res2.f, 'nobs': res2.n,
'alpha': res2.alpha, 'power': res2.power}
# keyword for which we don't look for root:
# solving for n_bins doesn't work, will not be used in regular usage
cls.kwds_extra = {'k_groups': res2.k} # rootfinding doesn't work
#cls.args_names = ['effect_size','nobs', 'alpha']#, 'k_groups']
cls.cls = smp.FTestAnovaPower
# precision for test_power
cls.decimal = 4
def __init__(self):
res2 = Holder()
#example from Gplus documentation F-test ANOVA
#Total sample size:200
#Effect size "f":0.25
#Beta/alpha ratio:1
#Result:
#Alpha:0.1592
#Power (1-beta):0.8408
#Critical F:1.4762
#Lambda: 12.50000
#converted to res2 by hand
res2.f = 0.25
res2.n = 200
res2.k = 10
res2.alpha = 0.1592
res2.power = 0.8408
res2.method = 'Multiple regression power calculation'
self.res2 = res2
self.kwds = {'effect_size': res2.f, 'nobs': res2.n,
'alpha': res2.alpha, 'power': res2.power}
# keyword for which we don't look for root:
# solving for n_bins doesn't work, will not be used in regular usage
self.kwds_extra = {'k_groups': res2.k} # rootfinding doesn't work
#self.args_names = ['effect_size','nobs', 'alpha']#, 'k_groups']
self.cls = smp.FTestAnovaPower
# precision for test_power
self.decimal = 4
