remove: Remove samples, classes or features

In jasenfinch/metabolyseR: Methods for Pre-Treatment, Data Mining and Correlation Analyses of Metabolomics Data

Remove samples, classes or features

Description

Exclusion of samples, classes or features from an AnalysisData object.

Usage

removeClasses(d, cls = "class", classes = c())

## S4 method for signature 'AnalysisData'
removeClasses(d, cls = "class", classes = c())

removeFeatures(d, features = character())

## S4 method for signature 'AnalysisData'
removeFeatures(d, features = character())

removeSamples(d, idx = "fileOrder", samples = c())

## S4 method for signature 'AnalysisData'
removeSamples(d, idx = "fileOrder", samples = c())

Arguments

d	S4 object of class AnalysisData
cls	info column to use for class information
classes	classes to remove
features	features to remove
idx	info column containing sample indexes
samples	sample indexes to remove

Value

An S4 object of class AnalysisData with samples, classes or features removed.

Methods

• removeClasses: Remove classes.

• removeFeatures: Remove features.

• removeSamples: Remove samples.

Examples

library(metaboData)
 d <- analysisData(abr1$neg[,200:300],abr1$fact)
 
 ## Remove classes
 d %>% 
  removeClasses(cls = 'day',classes = 'H')
 
 ## Remove features
 d %>% 
  removeFeatures(features = c('N200','N201'))
 
 ## Remove samples
 d %>% 
  removeSamples(idx = 'injorder',samples = c(1,10))

jasenfinch/metabolyseR documentation built on Sept. 18, 2023, 1:25 a.m.