Basic statistical tests and utility functions: Difference between revisions
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:[[pctile1]] - Percentile function (used by summary). | :[[pctile1]] - Percentile function (used by summary). | ||
:[[pctile2]] - Alternative definition percentile function. | :[[pctile2]] - Alternative definition percentile function. | ||
:[[randomttest]] - Randomization t-test for evaluating residuals from two models. | |||
:[[resize]] - Resizes arguments to same length. | :[[resize]] - Resizes arguments to same length. | ||
:[[signtest]] - Pairwise sign test for evaluating residuals from two models. | |||
:[[summary]] - Summary statistics for a data vector. | :[[summary]] - Summary statistics for a data vector. | ||
:[[ttest1]] - 1 sample t-test. | :[[ttest1]] - 1 sample t-test. | ||
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:[[ttest2u]] - 2 sample t-test assuming unequal variances. | :[[ttest2u]] - 2 sample t-test assuming unequal variances. | ||
:[[ttest2p]] - 2 sample paired t-test. | :[[ttest2p]] - 2 sample paired t-test. | ||
:[[wilcoxon]] - Pairwise Wilcoxon signed rank test for evaluating residuals from two models. | |||
Low-Level Utility Functions | Low-Level Utility Functions | ||
Revision as of 13:11, 31 October 2011
- means - Arithmethic, geometric, and harmonic means.
- parammle - Maximum likelihood parameter estimates for DF_Toolbox.
- pctile1 - Percentile function (used by summary).
- pctile2 - Alternative definition percentile function.
- randomttest - Randomization t-test for evaluating residuals from two models.
- resize - Resizes arguments to same length.
- signtest - Pairwise sign test for evaluating residuals from two models.
- summary - Summary statistics for a data vector.
- ttest1 - 1 sample t-test.
- ttest2e - 2 sample t-test assuming equal variances.
- ttest2u - 2 sample t-test assuming unequal variances.
- ttest2p - 2 sample paired t-test.
- wilcoxon - Pairwise Wilcoxon signed rank test for evaluating residuals from two models.
Low-Level Utility Functions
- ensurep - ensures that a probability value is between 0 and 1.
- ck_function - translates various key strings into standard distribution function strings.
(Sub topic of Distribution_Fitting_Tools)