FcnsByCatHypothTests

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.

 package

Graphical and statistical analyses of environmental data, with
focus on analyzing chemical concentrations and physical parameters, usually in
the context of mandated environmental monitoring. Major environmental
statistical methods found in the literature and regulatory guidance documents,
with extensive help that explains what these methods do, how to use them,
and where to find them in the literature. Numerous built-in data sets from
regulatory guidance documents and environmental statistics literature. Includes
scripts reproducing analyses presented in the book "EnvStats: An R Package for
Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4,
<https://link.springer.com/book/9781461484554>).

Alexander Kowarik

EnvStats

Package for Environmental Statistics, Including US EPA Guidance

Steven P. Millard

FcnsByCatHypothTests function

EnvStats Functions for Hypothesis Tests — FcnsByCatHypothTests

EnvStats Functions for Hypothesis 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.

FcnsByCatHypothTests: EnvStats Functions for Hypothesis Tests

Description

Arguments

Details