Kruskal.Wallis: Kruskal-Wallis Rank Sum Test for multiple variables

In nuriamw/micro4all: Microbiome for all

Kruskal-Wallis Rank Sum Test for multiple variables

Description

Computes a Kruskal-Wallis rank sum test for multiple variables. Input must be a table with indexes as columns and samples as rows. Further columns should include metadata.

Usage

kruskal.wallis(data, numberOfIndexes, formula, ...)

Arguments

data	a data frame, columns corresponding to indexes and rows corresponding to samples. Further columns should be included with metadata. This is used in argument Formula
numberOfIndexes	Integer corresponding to the number of indexes to analyze. This will be take as column numbers by the function.
formula	Metadata group name. This will group samples according to a metadata column (corresponding to g argument in kruskal.test, representing grouping vector or factor).
...	Further arguments passed to kruskal.test.

Value

Returns a data frame with p-values of the test for all variables (determined by numberOfIndexes).

Examples

kruskal_location<-kruskal.wallis(alpha_diversity_table, 4, "location")

nuriamw/micro4all documentation built on May 2, 2024, 9:18 a.m.