makeBarPlotClusterSummary: Title

In Scavetta/complexomics: Complexome Profiling Analysis package

Title

Description

Title

Usage

makeBarPlotClusterSummary(df, name = "sample 1")

Arguments

df	data frame, contains columns: 'Protein Group Accessions' character 'Protein Descriptions' character isLabel character ('TRUE'/'FALSE') columns 1 to n, numeric, n is the total number of fractions/slices, each of this columns contains 'Precursor Area' values in a given fraction(columns) for a protein(rows) cluster integer
name	character, specifies the name of the sample

Value

plot

Examples

##Use example normalised proteins file
inputFile <- system.file("extData", "dataNormProts.txt", package = "ComPrAn")
#read file in and change structure of table to required format
forAnalysis <- protImportForAnalysis(inputFile)
# create components necessary for clustering
clusteringDF <- clusterComp(forAnalysis,scenar = "A", PearsCor = "centered")
#assign clusters
labTab_clust <- assignClusters(.listDf = clusteringDF,sample = "labeled",
method = 'complete', cutoff = 0.5)
unlabTab_clust <- assignClusters(.listDf = clusteringDF,sample = "unlabeled",
                               method = 'complete', cutoff = 0.5)
#Make bar plots for labeled and unlabeled samples
makeBarPlotClusterSummary(labTab_clust, name = 'labeled')
makeBarPlotClusterSummary(unlabTab_clust, name = 'unlabeled')

Scavetta/complexomics documentation built on Oct. 1, 2022, 2:15 a.m.