twod_cow: Two-dimensional correlation optimized warping alignment

In DanielQuiroz97/RGCxGC: Preprocessing and Multivariate Analysis of Bidimensional Gas Chromatography Data

Two-dimensional correlation optimized warping alignment

Description

This is an adaptation of two-dimesional COW alignment, first implemented in MATLAB \insertCiteTomasi2004RGCxGC. This functions takes a sample chromatogram to be aligned against a reference. The argument [segment] will be used to split the whole chromatogram in n and m parts the first and the second dimension, respectively. The [max_warp] argument provides de maximum tolerance of the signal transformation for the first and the second dimension \insertCiteDabaoZhang2008RGCxGC.

Usage

twod_cow(sample_chrom, ref_chrom, segments, max_warp)

Arguments

sample_chrom	A GCxGC class chromatogram imported by read_chrom function or a preprocessed chromatogram.
ref_chrom	A representative GCxGC chromatogram chosen to be the template which sample_chrom will be aligned.
segments	A two integer vector with number of segments which the first and second dimension will be divided, respectively.
max_warp	A two integer vector with the maximum warping parameter.

References

\insertAllCited

Examples

GB08_fl <- system.file("extdata", "08GB.cdf", package = "RGCxGC")
GB09_fl <- system.file("extdata", "09GB.cdf", package = "RGCxGC")
GB08 <- read_chrom(GB08_fl, 5L)
GB09 <- read_chrom(GB09_fl, 5L)

GB09_al <- twod_cow(sample_chrom = GB09, ref_chrom = GB08,
                    segments = c(20, 40), max_warp = c(2, 8))

DanielQuiroz97/RGCxGC documentation built on March 12, 2023, 9:07 a.m.