Learn R Programming

RGCxGC (version 1.2.0)

Preprocessing and Multivariate Analysis of Bidimensional Gas Chromatography Data

Description

Toolbox for chemometrics analysis of bidimensional gas chromatography data. This package import data for common scientific data format (NetCDF) and fold it to 2D chromatogram. Then, it can perform preprocessing and multivariate analysis. In the preprocessing algorithms, baseline correction, smoothing, and peak alignment are available. While in multivariate analysis, multiway principal component analysis is incorporated.

Copy Link

Version

Install

install.packages('RGCxGC')

Monthly Downloads

170

Version

1.2.0

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/DanielQuiroz97/RGCxGC

Homepage

https://danielquiroz97.github.io/RGCxGC/

Maintainer

Cristian Quiroz-Moreno

Last Published

December 14th, 2022

Functions in RGCxGC (1.2.0)

projected-class

Class projected

Print MPCA summary

preproc_GCxGC-class

Subclass preproc_GCxGC

Plot two-dimensional MPCA loadings

joined_chrom-class

Class joined_chrom

Unfold two-dimensional chromatograms

Multiway Principal Component Analysis

Import foreign model loadings

Two-dimensional smoothing

Two-dimensional correlation optimized warping alignment

Set the metadata for a joined_chrom

Method get_metadata

Method plot_scores

raw_GCxGC-class

Subclass raw_GCxGC

Read two-dimensional chromatogram

join_chromatograms

Join multiple two-dimensional chromatograms into a single R object

reference_chrom

Make reference chromatogram

Microbial metabolism kinetics of Myrothecium sp.

batch_2DCOW-class

Subclass batch_2DCOW

Method dephase_chrom

Two-dimensional COW in batch.

aligned_GCxGC-class

Subclass aligned_GCxGC

Subclass MPCA subclass for Multiway Principal Component Analysis object

Two-dimensional baseline correction

Chromatograms from Dioagnostic Metabolite Biomarkers of Chronic Typhoid Carraige study