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 \(\alpha\). | |
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. |