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Learn how to perform Kruskal-Wallis test, a non-parametric alternative to one-way ANOVA, in R software. See how to import, visualize and compare data using box plots, ggpubr and pairwise.wilcox.test functions.
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4 de abr. de 2022 · by Zach Bobbitt April 4, 2022. A Kruskal-Wallis Test is used to determine whether or not there is a statistically significant difference between the medians of three or more independent groups. It is considered to be the non-parametric equivalent of the One-Way ANOVA.
Uso no R. Para realizar o teste de Kruskal-Wallis no R, basta utilizarmos a função kruskal.test(x, g), onde x é a variável resposta de interesse e g os grupos das amostras. Também é possível especificar o teste da forma kruskal.test(x ~ g).
kruskal.test performs a nonparametric test of the null that the location parameters of the distribution of x are the same in each group. It takes a numeric vector or list of numeric vectors as x, and a vector or factor of group labels as g, and returns a list with statistic, parameter, p.value and method.
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Teste por postos de Kruskall-Wallis no R. Deseja-se verificar se há diferença significativa de entre pacientes de um hospital desenvolverem câncer após ingerirem, por alguns meses, doses diferentes de um medicamento.
The Kruskal–Wallis test is a rank-based test that is similar to the Mann–Whitney U test, but can be applied to one-way data with more than two groups. Without further assumptions about the distribution of the data, the Kruskal–Wallis test does not address hypotheses about the medians of the groups.
