pingouin.kruskal

pingouin.
kruskal
(data=None, dv=None, between=None, detailed=False)[source] KruskalWallis Htest for independent samples.
 Parameters
 datapandas DataFrame
DataFrame
 dvstring
Name of column containing the dependant variable.
 betweenstring
Name of column containing the between factor.
 Returns
 statsDataFrame
Test summary
'H' : The KruskalWallis H statistic, corrected for ties 'punc' : Uncorrected pvalue 'dof' : degrees of freedom
Notes
The KruskalWallis Htest tests the null hypothesis that the population median of all of the groups are equal. It is a nonparametric version of ANOVA. The test works on 2 or more independent samples, which may have different sizes.
Due to the assumption that H has a chi square distribution, the number of samples in each group must not be too small. A typical rule is that each sample must have at least 5 measurements.
NaN values are automatically removed.
Examples
Compute the KruskalWallis Htest for independent samples.
>>> from pingouin import kruskal, read_dataset >>> df = read_dataset('anova') >>> kruskal(data=df, dv='Pain threshold', between='Hair color') Source ddof1 H punc Kruskal Hair color 3 10.589 0.014172