Function |
Mark of Introduction |
Purpose |
---|---|---|
g08aac | 6 | nag_nonpar_test_sign Sign test on two paired samples |
g08acc | 6 | nag_nonpar_test_median Median test on two samples of unequal size |
g08aec | 6 | nag_nonpar_test_friedman Friedman two-way analysis of variance on matched samples |
g08afc | 6 | nag_nonpar_test_kruskal Kruskal–Wallis one-way analysis of variance on samples of unequal size |
g08agc | 6 | nag_nonpar_test_wilcoxon Performs the Wilcoxon one-sample (matched pairs) signed rank test |
g08amc | 6 | nag_nonpar_mann_whitney Performs the Mann–Whitney test on two independent samples |
g08cbc | 6 | nag_nonpar_test_ks_1sample Performs the one-sample Kolmogorov–Smirnov test for standard distributions |
g08cdc | 6 | nag_nonpar_test_ks_2sample Performs the two-sample Kolmogorov–Smirnov test |
g08cgc | 6 | nag_nonpar_test_chisq Performs the goodness-of-fit test, for standard continuous distributions |
g08chc | 23 | nag_nonpar_gofstat_anddar Calculates the Anderson–Darling goodness-of-fit test statistic |
g08cjc | 23 | nag_nonpar_gofstat_anddar_unif Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of uniformly distributed data |
g08ckc | 23 | nag_nonpar_gofstat_anddar_normal Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of a fully-unspecified Normal distribution |
g08clc | 23 | nag_nonpar_gofstat_anddar_exp Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of an unspecified exponential distribution |
g08eac | 6 | nag_nonpar_randtest_runs Performs the runs up or runs down test for randomness |
g08ebc | 6 | nag_nonpar_randtest_pairs Performs the pairs (serial) test for randomness |
g08ecc | 6 | nag_nonpar_randtest_triplets Performs the triplets test for randomness |
g08edc | 6 | nag_nonpar_randtest_gaps Performs the gaps test for randomness |
g08rac | 7 | nag_nonpar_rank_regsn Regression using ranks, uncensored data |
g08rbc | 7 | nag_nonpar_rank_regsn_censored Regression using ranks, right-censored data |