kw_rank_sum {structToolbox}R Documentation

kruskal-wallis model class

Description

Calculate kw-test for all features in a DatasetExperiment. A non-parametric 1-way ANOVA.

Usage

kw_rank_sum(alpha = 0.05, mtc = "fdr", factor_names, ...)

Arguments

alpha

The p-value threshold. Default alpha = 0.05.

mtc

Multiple test correction method passed to p.adjust. Default mtc = 'fdr'.

factor_names

The sample_meta column name to use

...

additional slots and values passed to struct_class

Value

struct object

Examples

D = iris_DatasetExperiment()
M = kw_rank_sum(factor_names='Species')
M = model_apply(M,D)


[Package structToolbox version 1.0.1 Index]