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 0.99.8 Index]