RGCxGC: Preprocessing and Multivariate Analysis of Bidimensional Gas
Chromatography Data
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.
Version: |
1.2.0 |
Depends: |
R (≥ 4.2.0), RNetCDF, ptw |
Imports: |
colorRamps, Rdpack, stats, methods, graphics |
Suggests: |
knitr, rmarkdown, lattice, prettydoc |
Published: |
2022-12-14 |
DOI: |
10.32614/CRAN.package.RGCxGC |
Author: |
Cristian Quiroz-Moreno
[aut, cre],
Guilherme L. Alexandrino
[aut],
Noroska G.S. Mogollón
[aut] |
Maintainer: |
Cristian Quiroz-Moreno <cristianquirozd1997 at gmail.com> |
BugReports: |
https://github.com/DanielQuiroz97/RGCxGC/issues |
License: |
MIT + file LICENSE |
URL: |
https://github.com/DanielQuiroz97/RGCxGC,
https://danielquiroz97.github.io/RGCxGC/ |
NeedsCompilation: |
no |
Citation: |
RGCxGC citation info |
Materials: |
NEWS |
In views: |
ChemPhys |
CRAN checks: |
RGCxGC results |
Documentation:
Downloads:
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