barplotCounts: Number of detected features per sample

In marcpaga/pulsedSilac: Analysis of pulsed-SILAC quantitative proteomics data

Description

How many proteins/peptides are detected in each sample. NA are considered missing values.

Usage

barplotCounts(x, ...)

## S4 method for signature 'SilacProteinExperiment'
barplotCounts(x, assayName, returnDataFrame = FALSE, conditionCol)

## S4 method for signature 'SilacPeptideExperiment'
barplotCounts(x, assayName, returnDataFrame = FALSE, conditionCol)

## S4 method for signature 'SilacProteomicsExperiment'
barplotCounts(x, assayName, returnDataFrame = FALSE, conditionCol)

Arguments

x	A SilacProteinExperiment, SilacPeptideExperiment or a SilacProteomicsExperiment object.
...	Unused.
assayName	Name of the assay to use in the plot.
returnDataFrame	A logical indicating if the data.frame used for the plot should be returned instead.
conditionCol	A character, which indicates the column name in colData(x) that defines the different experiment conditions.

Value

A ggplot2 barplot object or a data.frame.

Examples

data('wormsPE')
barplotCounts(wormsPE, assayName = 'ratio')

marcpaga/pulsedSilac documentation built on March 11, 2020, 8:49 p.m.