plotFeature: Plot a feature

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

Plot a feature

Description

Plot the trend of a feature.

Usage

plotFeature(analysis, feature, cls = "class", label = NULL, labelSize = 2, ...)

## S4 method for signature 'AnalysisData'
plotFeature(analysis, feature, cls = "class", label = NULL, labelSize = 2)

## S4 method for signature 'Analysis'
plotFeature(
  analysis,
  feature,
  cls = "class",
  label = NULL,
  labelSize = 2,
  type = c("pre-treated", "raw")
)

Arguments

analysis	an object of class AnalysisData or“ Analysis'
feature	feature name to plot
cls	information column to use for class labels
label	information column to use for sample labels
labelSize	sample label size
...	arguments to pass to the appropriate method
type	raw or pre-treated data to plot

Examples

d <- analysisData(metaboData::abr1$neg,
                  metaboData::abr1$fact)

## Plot a categorical response variable
plotFeature(d,'N133',cls = 'day')

## Plot a continuous response variable
plotFeature(d,'N133',cls = 'injorder')

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