EnvStats Functions for Hypothesis Tests
The EnvStats functions listed below are useful for performing hypothesis tests not already built into R. See Power and Sample Size Calculations for a list of functions you can use to perform power and sample size calculations based on various hypothesis tests.
For goodness-of-fit tests, see Goodness-of-Fit Tests.
| Function Name | Description |
chenTTest |
Chen's modified one-sided t-test for skewed |
| distributions. | |
kendallTrendTest |
Nonparametric test for monotonic trend |
| based on Kendall's tau statistic (and | |
| optional confidence interval for slope). | |
kendallSeasonalTrendTest |
Nonparametric test for monotonic trend |
| within each season based on Kendall's tau | |
| statistic (and optional confidence interval | |
| for slope). | |
oneSamplePermutationTest |
Fisher's one-sample randomization |
| (permutation) test for location. | |
quantileTest |
Two-sample rank test to detect a shift in |
| a proportion of the “treated” population. | |
quantileTestPValue |
Compute p-value associated with a specified |
| combination of m, n, r and k | |
| for the quantile test. | |
| Useful for determining r and k for a | |
| given significance level α. | |
serialCorrelationTest |
Test for the presence of serial correlation. |
signTest |
One- or paired-sample sign test on the |
| median. | |
twoSampleLinearRankTest |
Two-sample linear rank test to detect a |
| shift in the “treated” population. | |
twoSamplePermutationTestLocation |
Two-sample or paired-sample randomization |
| (permutation) test for location. | |
twoSamplePermutationTestProportion |
Randomization (permutation) test to compare |
| two proportions (Fisher's exact test). | |
varTest |
One-sample test on variance or two-sample |
| test to compare variances. | |
varGroupTest |
Test for homogeneity of variance among two |
| or more groups. | |
zTestGevdShape |
Estimate the shape parameter of a |
| Generalized Extreme Value distribution and | |
| test the null hypothesis that the true | |
| value is equal to 0. | |
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.