dohCluster: CluPA function for multiple spectra.

In nghiavtr/speaq: Tools for Nuclear Magnetic Resonance Spectrum Alignment and Quantitative Analysis

Description

Use CluPA for alignment for multiple spectra.

Usage

dohCluster(X,
          peakList,
          refInd = 0,
          maxShift = 100,
          acceptLostPeak = TRUE,
          verbose=TRUE)

Arguments

X	The spectral dataset in the matrix format in which each row contains a single sample
peakList	The peak lists of the spectra
refInd	The index of the reference spectrum.
maxShift	The maximum number of the points for a shift step.
acceptLostPeak	This is an option for users, TRUE is the default value. If the users believe that all the peaks in the peak list are true positive, change it to FALSE.
verbose	A boolean value to allow print out process information.

Details

Use CluPA for alignment for multiple spectra.

Value

The aligned spectra.

Author(s)

Trung Nghia Vu

See Also

dohClusterCustommedSegments

Examples

 
res=makeSimulatedData();
X=res$data;
groupLabel=res$label;



peakList <- detectSpecPeaks(X,
  nDivRange = c(128),                
  scales = seq(1, 16, 2),
  baselineThresh = 50000,
  SNR.Th = -1,
    verbose=FALSE
);


resFindRef<- findRef(peakList);
refInd <- resFindRef$refInd;


maxShift = 50;
Y <- dohCluster(X,
                peakList = peakList,
                refInd = refInd,
                maxShift  = maxShift,
                acceptLostPeak = TRUE, verbose=FALSE);

nghiavtr/speaq documentation built on May 20, 2019, 5:27 p.m.