testMSnSet {pRoloc} | R Documentation

## Create a stratified 'test' `MSnSet`

### Description

This function creates a stratified 'test' `MSnSet` which can be used for algorihtmic development. A `"MSnSet"` containing only the marker proteins, as defined in `fcol`, is returned with a new feature data column appended called `test` in which a stratified subset of these markers has been relabelled as 'unknowns'.

### Usage

    testMSnSet(object, fcol = "markers", size = 0.2, seed)

### Arguments

`object` | An instance of class `"MSnSet"`
`fcol` | The feature meta-data column name containing the marker definitions on which the data will be stratified. Default is `markers`.
`size` | The size of the data set to be extracted. Default is 0.2 (20 percent).
`seed` | The optional random number generator seed.

### Value

An instance of class `"MSnSet"` which contains only the proteins that have a labelled localisation i.e. the marker proteins, as defined in `fcol` and a new column in the feature data slot called `test` which has part of the labels relabelled as "unknown" class (the number of proteins renamed as "unknown" is according to the parameter size).

### Author(s)

Lisa Breckels

### See Also

`sampleMSnSet` `unknownMSnSet` `markerMSnSet`

### Examples

    library(pRolocdata)
    data(tan2009r1)
    sample <- testMSnSet(tan2009r1)
    getMarkers(sample, "test")
    all(dim(sample) == dim(markerMSnSet(tan2009r1)))

[Package pRoloc version 1.22.2 Index]