Wilcoxon Signed-Rank Test in R

This test can be divided into two parts: 

  • One-Sample Wilcoxon Signed Rank Test
  • Paired Samples Wilcoxon Test

Wilcoxon Signed Rank Test in R Programming

The Wilcoxon signed-rank test is a non-parametric statistical hypothesis test used to compare two related samples, matched samples, or repeated measurements on a single sample to estimate whether their population means ranks differ e.g. it is a paired difference test. It can be applied as an alternative to the paired Student’s t-test also known as “t-test for matched pairs” or “t-test for dependent samples” when the distribution of the difference between the two samples’ means cannot be assumed to be normally distributed. A Wilcoxon signed-rank test is a nonparametric test that can be used to determine whether two dependent samples were selected from populations having the same distribution.

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Wilcoxon Signed-Rank Test in R

This test can be divided into two parts:...

One-Sample Wilcoxon Signed Rank Test

The one-sample Wilcoxon signed-rank test is a non-parametric alternative to a one-sample t-test when the data cannot be assumed to be normally distributed. It’s used to determine whether the median of the sample is equal to a known standard value i.e. a theoretical value. In R Language one can perform this test very easily....

Paired Samples Wilcoxon Test in R

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