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Module « scipy.stats.mstats »

Fonction compare_medians_ms - module scipy.stats.mstats

Signature de la fonction compare_medians_ms

def compare_medians_ms(group_1, group_2, axis=None) 

Description

help(scipy.stats.mstats.compare_medians_ms)

Compares the medians from two independent groups along the given axis.

The comparison is performed using the McKean-Schrader estimate of the
standard error of the medians.

Parameters
----------
group_1 : array_like
    First dataset.  Has to be of size >=7.
group_2 : array_like
    Second dataset.  Has to be of size >=7.
axis : int, optional
    Axis along which the medians are estimated. If None, the arrays are
    flattened.  If `axis` is not None, then `group_1` and `group_2`
    should have the same shape.

Returns
-------
compare_medians_ms : {float, ndarray}
    If `axis` is None, then returns a float, otherwise returns a 1-D
    ndarray of floats with a length equal to the length of `group_1`
    along `axis`.

Examples
--------

>>> from scipy import stats
>>> a = [1, 2, 3, 4, 5, 6, 7]
>>> b = [8, 9, 10, 11, 12, 13, 14]
>>> stats.mstats.compare_medians_ms(a, b, axis=None)
1.0693225866553746e-05

The function is vectorized to compute along a given axis.

>>> import numpy as np
>>> rng = np.random.default_rng()
>>> x = rng.random(size=(3, 7))
>>> y = rng.random(size=(3, 8))
>>> stats.mstats.compare_medians_ms(x, y, axis=1)
array([0.36908985, 0.36092538, 0.2765313 ])

References
----------
.. [1] McKean, Joseph W., and Ronald M. Schrader. "A comparison of methods
   for studentizing the sample median." Communications in
   Statistics-Simulation and Computation 13.6 (1984): 751-773.

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