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== | == Hypothesis Testing == | ||
* | Functions available for hypothesis testing | ||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| adtest | |||
| Anderson-Darling goodness-of-fit hypothesis test. | |||
|- | |||
| anova1 | |||
| Perform a one-way analysis of variance (ANOVA) | |||
|- | |||
| anova2 | |||
| Performs two-way factorial (crossed) or a nested analysis of variance (ANOVA) for balanced designs. | |||
|- | |||
| anovan | |||
| Perform a multi (N)-way analysis of (co)variance (ANOVA or ANCOVA) to evaluate the effect of one or more categorical or continuous predictors (i.e. independent variables) on a continuous outcome (i.e. dependent variable). | |||
|- | |||
| bartlett_test | |||
| Perform a Bartlett test for the homogeneity of variances. | |||
|- | |||
| barttest | |||
| Bartlett's test of sphericity for correlation. | |||
|- | |||
| binotest | |||
| Test for probability P of a binomial sample | |||
|- | |||
| chi2gof | |||
| Chi-square goodness-of-fit test. | |||
|- | |||
| chi2test | |||
| Perform a chi-squared test (for independence or homogeneity). | |||
|- | |||
| friedman | |||
| Performs the nonparametric Friedman's test to compare column effects in a two-way layout. | |||
|- | |||
| hotelling_t2test | |||
| Compute Hotelling's T^2 ("T-squared") test for a single sample or two dependent samples (paired-samples). | |||
|- | |||
| hotelling_t2test2 | |||
| Compute Hotelling's T^2 ("T-squared") test for two independent samples. | |||
|- | |||
| kruskalwallis | |||
| Perform a Kruskal-Wallis test, the non-parametric alternative of a one-way analysis of variance (ANOVA). | |||
|- | |||
| kstest | |||
| Single sample Kolmogorov-Smirnov (K-S) goodness-of-fit hypothesis test. | |||
|- | |||
| kstest2 | |||
| Two-sample Kolmogorov-Smirnov goodness-of-fit hypothesis test. | |||
|- | |||
| levene_test | |||
| Perform a Levene's test for the homogeneity of variances. | |||
|- | |||
| manova1 | |||
| One-way multivariate analysis of variance (MANOVA). | |||
|- | |||
| ranksum | |||
| Wilcoxon rank sum test for equal medians. This test is equivalent to a Mann-Whitney U-test. | |||
|- | |||
| regression_ftest | |||
| F-test for General Linear Regression Analysis | |||
|- | |||
| regression_ttest | |||
| Perform a linear regression t-test for the null hypothesis ''RR * B = R'' in a classical normal regression model ''Y = X * B + E''. | |||
|- | |||
| runstest | |||
| Runs test for detecting serial correlation in the vector X. | |||
|- | |||
| sampsizepwr | |||
| Sample size and power calculation for hypothesis test. | |||
|- | |||
| signtest | |||
| Test for median. | |||
|- | |||
| ttest | |||
| Test for mean of a normal sample with unknown variance or a paired-sample t-test. | |||
|- | |||
| ttest2 | |||
| Perform a two independent samples t-test. | |||
|- | |||
| vartest | |||
| One-sample test of variance. | |||
|- | |||
| vartest2 | |||
| Two-sample F test for equal variances. | |||
|- | |||
| vartestn | |||
| Test for equal variances across multiple groups. | |||
|- | |||
| ztest | |||
| One-sample Z-test. | |||
|} | |||
[[Category:Octave Forge]] | [[Category:Octave Forge]] | ||
[[Category:Missing functions]] | [[Category:Missing functions]] | ||