Kruskal Wallis test in one-way ANOVA
Kruskal Wallis test in one-way ANOVA (By R-bloggers)
Kruskal Wallis test in R, Kruskal Wallis test is one of the frequently used methods in nonparametric statistics for analyzing data in one-way classification.
It is equivalent to a one-way analysis of variance in parametric methods.
When we test the identicalness of the k population from which the independent samples have been drawn. There is no restriction of sample sizes.
Decision Trees in R » Classification & Regression »
Assumptions
Mainly Kruskal Wallis test is based on the following assumptions.
- The observations are independent within and between samples.
- The variable under study is continuous
- The populations are identical in respect to the median.
Principal component analysis (PCA) in R »
Hypothesis
Ho: All the populations are identical
H1: At least one pair of the population do not have the same median.
The test statistic is approximately distributed as chi-square with (k-1) degrees of freedom. , subject to the condition n should be large or at least n should not be less than 5.
https://www.r-bloggers.com/2021/06/kruskal-wallis-test-in-r-one-way-anov...