In omarbenites/iskay: R-Shiny package for non-parametric data analysis

Definition

In statistics, the Mann–Whitney U test (also called the Mann–Whitney–Wilcoxon (MWW), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric test of the null hypothesis that it is equally likely that a randomly selected value from one sample will be less than or greater than a randomly selected value from a second sample.

Inputs

1. Variable X: independent or explanatory variable

2. Treatments: dependent or respones variable

3. Hyphotesis: insert trait or variable measured.

4. Mean value: insert the mean that you want to compare.

References

Corder, G.W.; Foreman, D.I. (2014). Nonparametric Statistics: A Step-by-Step Approach. Wiley. ISBN 978-1118840313.

omarbenites/iskay documentation built on May 22, 2019, 8:51 p.m.