makeBarPlotClusterSummary {ComPrAn} | R Documentation

## 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')

[Package ComPrAn version 1.2.0 Index]