.corr_distribution_prot {proBatch} | R Documentation

## Transform square correlation matrix into long data frame of correlations

### Description

Transform square correlation matrix into long data frame of correlations

### Usage

    .corr_distribution_prot(data_matrix, peptide_annotation, protein_col,
      feature_id_col)

### Arguments

`data_matrix` | features (in rows) vs samples (in columns) matrix, with feature IDs in rownames and file/sample names as colnames. Usually the log transformed version of the original data
`peptide_annotation` | df with petpides and their corresponding proteins
`protein_col` | the column name in `peptide_annotation` with protein names
`feature_id_col` | column in `peptide_annotation` that captures peptide names are found

### Value

dataframe with peptide correlation coefficients that are suggested to use for plotting in `plot_peptide_corr_distribution` as `plot_param`:

[Package proBatch version 1.0.0 Index]