scipy.stats.mstats.kendalltau¶
- scipy.stats.mstats.kendalltau(x, y, use_ties=True, use_missing=False)[source]¶
Computes Kendall’s rank correlation tau on two variables x and y.
Parameters : xdata : sequence
First data list (for example, time).
ydata : sequence
Second data list.
use_ties : {True, False}, optional
Whether ties correction should be performed.
use_missing : {False, True}, optional
Whether missing data should be allocated a rank of 0 (False) or the average rank (True)
Returns : tau : float
Kendall tau
prob : float
Approximate 2-side p-value.