scipy.stats.mstats.compare_medians_ms#
- scipy.stats.mstats.compare_medians_ms(group_1, group_2, axis=None)[source]#
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_1array_like
First dataset. Has to be of size >=7.
- group_2array_like
Second dataset. Has to be of size >=7.
- axisint, 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.