fold_change_int {structToolbox} | R Documentation

## Fold change for interactions between factors

### Description

For more than one factor the fold change calculation is extended to include all combinations of levels (interactions) of all factors. Paired fold changes are not possible for this computation.

### Usage

    fold_change_int(
      alpha = 0.05,
      factor_name,
      threshold = 2,
      control_group = character(0),
      ...
    )

### Arguments

`alpha` | (numeric) The p-value cutoff for determining significance. The default is `0.05`.
`factor_name` | (character) The name of a sample-meta column to use.
`threshold` | (numeric) The fold change threshold for labelling features as significant. The default is `2`.
`control_group` | (character) The level name of the group used in the denominator (where possible) when computing fold change. The default is `character(0)`.
`...` | Additional slots and values passed to `struct_class`.

### Value

A `fold_change_int` object.

### References

Lloyd GR, Weber RJM (????). struct: Statistics in R Using Class-based Templates. R package version 1.1.2.

### Examples

    D = MTBLS79_DatasetExperiment()
    D=D[,1:10,drop=FALSE]
    M = filter_smeta(mode='exclude',levels='QC',factor_name='class') +
        fold_change_int(factor_name=c('class','batch'))
    M = model_apply(M,D)

[Package structToolbox version 1.2.0 Index]