FcnsByCatHypothTests {EnvStats}  R Documentation 
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 goodnessoffit tests, see GoodnessofFit Tests.
Function Name  Description 
chenTTest  Chen's modified onesided ttest 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 onesample randomization 
(permutation) test for location.  
quantileTest  Twosample rank test to detect a shift in 
a proportion of the “treated” population.  
quantileTestPValue  Compute pvalue 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 pairedsample sign test on the 
median.  
twoSampleLinearRankTest  Twosample linear rank test to detect a 
shift in the “treated” population.  
twoSamplePermutationTestLocation  Twosample or pairedsample randomization 
(permutation) test for location.  
twoSamplePermutationTestProportion  Randomization (permutation) test to compare 
two proportions (Fisher's exact test).  
varTest  Onesample test on variance or twosample 
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.  