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I wanted to calculate kendalls correlations with corr.test because this function can easily correct for multiple testing for example with bonferroni correction. But corr.test gives me different p-values than cor.test (although kendalls tau is the same). Strangely when I use a different correlation coefficient as pearson or spearman all values are the same as it should be. Are corr.test adn cor.test using different test for the p-values with kendall correlations? And which one is better? Thanks for help!!

ElBiggo
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    Welcome to StackOverflow. It is difficult to help without examples. Please take a look at these tips on how to produce a [minimum, complete, and verifiable example](http://stackoverflow.com/help/mcve), as well as this post on [creating a great example in R](http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example). Perhaps the following tips on [asking a good question](http://stackoverflow.com/help/how-to-ask) may also be worth a read. – lmo Aug 30 '16 at 11:50
  • You may want to edit this question and post it on the Cross Validate, http://stats.stackexchange.com/ That site is more geared towards your statisitics question. – Dave2e Aug 30 '16 at 14:02

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