Permutation Hypothesis Test in R with Examples: Learn how to conduct a permutation hypothesis test in R programming language using RStudio, Step by Step with no package. 📝 Free R Script and extra material for Practice: https://bit.ly/30097VA 👉🏼Related: Permutation Hypothesis Test in Statistics Video (https://bit.ly/2E0BOZ9); Bootstrapping in Statistics and in R Videos: (https://bit.ly/2GL6AYS ) ;
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In this R video tutorial, we show how to do a permutation hypothesis test in R, using an example where we would like to compare a numeric (quantitative, continuous) variable for two groups formed by a categorical variable (qualitative, factor). A permutation test is considered an “exact” test, as it calculates an exact p value (although in practice, we often take a random sample of all possible permutations, and so it is no longer truly an exact test)
A permutation test in statistics starts by assuming a null hypothesis to be true, and then considers all possible permutations of the data, under the assumption that the null is true. The p value is then calculated as the percentage of test statistics, calculated for each of the permutation data sets, that are greater than the observed (or sample) test-statistic.
In this R video, we show how to implement such a test in R statistical software. We make the R code as transparent as possible, and include some extra R code to explore at the end of the R script for the video.
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