7.10.6.3. statsmodels.sandbox.stats.multicomp.GroupsStats

class statsmodels.sandbox.stats.multicomp.GroupsStats(x, useranks=False, uni=None, intlab=None)[source]

statistics by groups (another version)

groupstats as a class with lazy evaluation (not yet - decorators are still missing)

written this time as equivalent of scipy.stats.rankdata gs = GroupsStats(X, useranks=True) assert_almost_equal(gs.groupmeanfilter, stats.rankdata(X[:,0]), 15)

TODO: incomplete doc strings

descriptive statistics by groups

Parameters:

x : array, 2d

first column data, second column group labels

useranks : boolean

if true, then use ranks as data corresponding to the scipy.stats.rankdata definition (start at 1, ties get mean)

uni, intlab : arrays (optional)

to avoid call to unique, these can be given as inputs
__init__(x, useranks=False, uni=None, intlab=None)[source]

descriptive statistics by groups

Parameters:

x : array, 2d

first column data, second column group labels

useranks : boolean

if true, then use ranks as data corresponding to the scipy.stats.rankdata definition (start at 1, ties get mean)

uni, intlab : arrays (optional)

to avoid call to unique, these can be given as inputs

Methods

__init__(x[, useranks, uni, intlab]) descriptive statistics by groups
groupdemean()
groupsswithin()
groupvarwithin()
runbasic([useranks])
runbasic_old([useranks])