is about effect size estimate correlation coefficient ordinal variable Kendall's correlation coefficient 2 Alejandra Gonzalez-Beltran Kendall rank correlation coefficient Kendall's correlation coefficient is a correlation coefficient between 2 ordinal variables (natively or following a ranking procedure) and may be used when the conditions for computing Pearson's correlation are not met (e.g linearity, normality of the 2 continuous variables) Kendall's tau (τ) coefficient Orlaith Burke Philippe Rocca-Serra STATO, adapted from wikipedia (http://en.wikipedia.org/wiki/Kendall_tau_rank_correlation_coefficient), polled in june 2013 and from: http://stamash.org/pearsons-correlation-coefficient/ http://stamash.org/kendalls-tau-correlation/ cor(x, y = NULL, use = "everything",method = c("kendall")) scipy.stats.kendalltau(x, y, initial_lexsort=True) http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.kendalltau.html#scipy.stats.kendalltau source: https://github.com/scipy/scipy/blob/v0.15.1/scipy/stats/stats.py#L2827 ready for release