Function Name |
Mark of Introduction |
Purpose |
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6 | nag_sign_test Sign test on two paired samples |
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6 | nag_median_test Median test on two samples of unequal size |
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6 | nag_friedman_test Friedman two-way analysis of variance on matched samples |
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6 | nag_kruskal_wallis_test Kruskal–Wallis one-way analysis of variance on samples of unequal size |
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6 | nag_wilcoxon_test Performs the Wilcoxon one-sample (matched pairs) signed rank test |
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6 | nag_mann_whitney Performs the Mann–Whitney test on two independent samples |
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6 | nag_1_sample_ks_test Performs the one-sample Kolmogorov–Smirnov test for standard distributions |
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6 | nag_2_sample_ks_test Performs the two-sample Kolmogorov–Smirnov test |
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6 | nag_chi_sq_goodness_of_fit_test Performs the goodness-of-fit test, for standard continuous distributions |
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23 | nag_anderson_darling_stat Calculates the Anderson–Darling goodness-of-fit test statistic |
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23 | nag_anderson_darling_uniform_prob Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of uniformly distributed data |
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23 | nag_anderson_darling_normal_prob Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of a fully-unspecified Normal distribution |
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23 | nag_anderson_darling_exp_prob Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of an unspecified exponential distribution |
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6 | nag_runs_test Performs the runs up or runs down test for randomness |
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6 | nag_pairs_test Performs the pairs (serial) test for randomness |
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6 | nag_triplets_test Performs the triplets test for randomness |
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6 | nag_gaps_test Performs the gaps test for randomness |
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7 | nag_rank_regsn Regression using ranks, uncensored data |
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7 | nag_rank_regsn_censored Regression using ranks, right-censored data |