STAC Python Library

Through this library you can verify the results obtained from the learning algorithms applying the statistic tests to the experiments, which, among other uses, support the decision making process (the election of the most suitable algorithm, for example).

Normality tests

shapiro(x[, a, reta])	Perform the Shapiro-Wilk test for normality.
normaltest(a[, axis])	Tests whether a sample differs from a normal distribution.
kstest(rvs, cdf[, args, N, alternative, mode])	Perform the Kolmogorov-Smirnov test for goodness of fit.

Homoscedasticity tests

levene(*args, **kwds)

Perform Levene test for equal variances.

Parametric two group comparison tests

ttest_ind(a, b[, axis, equal_var])	Calculates the T-test for the means of TWO INDEPENDENT samples of scores.
ttest_rel(a, b[, axis])	Calculates the T-test on TWO RELATED samples of scores, a and b.

Non-parametric two group comparison tests

wilcoxon(x[, y, zero_method, correction])	Calculate the Wilcoxon signed-rank test.
mannwhitneyu(x, y[, use_continuity])	Computes the Mann-Whitney rank test on samples x and y.

binomial_sign_test(*args)

Performs a binomial sign test for two dependent samples.

Parametric multiple comparison tests

ANOVA tests

anova_test(*args)	Performs a 1-way ANOVA.
anova_within_test(*args)	Performs a 1-way ANOVA within cases.

Post-hoc tests

bonferroni_test(pivots, n)

Performs a Bonferroni-Dunn post-hoc test using the pivot quantities obtained by an ANOVA test.

Non-Parametric multiple comparison tests

Ranking tests

friedman_test(*args)	Performs a Friedman ranking test.
friedman_aligned_ranks_test(*args)	Performs a Friedman aligned ranks ranking test.
quade_test(*args)	Performs a Quade ranking test.

Post-hoc 1 vs all tests

bonferroni_dunn_test(ranks[, control])	Performs a Bonferroni-Dunn post-hoc test using the pivot quantities obtained by a ranking test.
holm_test(ranks[, control])	Performs a Holm post-hoc test using the pivot quantities obtained by a ranking test.
finner_test(ranks[, control])	Performs a Finner post-hoc test using the pivot quantities obtained by a ranking test.
hochberg_test(ranks[, control])	Performs a Hochberg post-hoc test using the pivot quantities obtained by a ranking test.
li_test(ranks[, control])	Performs a Li post-hoc test using the pivot quantities obtained by a ranking test.

Post-hoc all vs all tests

nemenyi_multitest(ranks)	Performs a Nemenyi post-hoc test using the pivot quantities obtained by a ranking test.
holm_multitest(ranks)	Performs a Holm post-hoc test using the pivot quantities obtained by a ranking test.
finner_multitest(ranks)	Performs a Finner post-hoc test using the pivot quantities obtained by a ranking test.
hochberg_multitest(ranks)	Performs a Hochberg post-hoc test using the pivot quantities obtained by a ranking test.
shaffer_multitest(ranks)	Performs a Shaffer post-hoc test using the pivot quantities obtained by a ranking test.