calcPC.hcs {CAMERA} | R Documentation

## Peakclustering into pseudospectra with the highly connected subgraphs approach

### Description

Cluster peaks from an xsAnnotate object into pseudospectra

### Arguments

`object` | `xsAnnotate` object
`ajc` | Weighted symbolic edge list as four column matrix ("x","y","cor","ps"). Columns x,y are peak indices, cor the edge value and ps the pseudospectrum index, where both peaks occur.
`psg_list` | additional vector ps pseudospectra indices, which are used in the clustering. If set to NULL all pseudospectra will be processed.

### Details

In some cases, is the peak grouping after retentiontime with `groupFWHM` not enough to separate co-elution compounds. Therefore `groupCorr` use additional correlation analysis to achieve a separation. `calcPC` is part of this approach, which takes the calculated weighted edge list and performs the graph clustering. It returns an xsAnnotate object with further separated pseudospectra.

### Methods

object = "xsAnnotate"

  `calcPC.hcs(object, ajc=NULL, psg_list=NULL)`

### Author(s)

Carsten Kuhl, ckuhl@ipb-halle.de

### See Also

`calcPC` `groupCorr` `highlyConnSG` `xsAnnotate-class`

[Package CAMERA version 1.42.0 Index]