sampleMSnSet: Extract a stratified sample of an 'MSnSet'

In lgatto/pRoloc: A unifying bioinformatics framework for spatial proteomics

Extract a stratified sample of an MSnSet

Description

This function extracts a stratified sample of an MSnSet.

Usage

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

Arguments

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

Value

A stratified sample (according to the defined fcol) which is an instance of class "MSnSet".

Author(s)

Lisa Breckels

See Also

testMSnSet unknownMSnSet markerMSnSet. See markers for details about markers encoding.

Examples

library(pRolocdata)
data(tan2009r1)
dim(tan2009r1)
smp <- sampleMSnSet(tan2009r1, fcol = "markers")
dim(smp)
getMarkers(tan2009r1)
getMarkers(smp)

lgatto/pRoloc documentation built on Oct. 23, 2024, 12:51 a.m.