exportClusterAssignments {ComPrAn} | R Documentation

## Covert clustered tables into format for export

### Description

Covert clustered tables into format for export

### Usage

    exportClusterAssignments(labClustTable, unlabClustTable)

### Arguments

`labClustTable` | output: data frame containing columns: 'Protein Group Accessions' character 'Protein Descriptions' character 'Cluster number - unlabeled' integer 'Cluster number - labeled' integer
`unlabClustTable` | labClustTable, unlabClustTable: data frames, contain columns: 'Protein Group Accessions' character 'Protein Descriptions' character isLabel character ('TRUE'/'FALSE') - here in one data frame all are TRUE in second one all are 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

### Value

dataframe

### 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 table of cluster assginment
    tableClusterExport <- exportClusterAssignments(labTab_clust,unlabTab_clust)

[Package ComPrAn version 1.2.0 Index]