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: | 1.1-2 |
Depends: | R (≥ 3.6.0), RNetCDF, ptw, mixOmics |
Imports: | colorRamps, Rdpack, stats, methods, graphics |
Suggests: | knitr, rmarkdown, lattice, MASS, caret, rgl, prettydoc |
Published: | 2020-03-29 |
Author: | Cristian Quiroz-Moreno
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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 |
NeedsCompilation: | no |
Citation: | RGCxGC citation info |
CRAN checks: | RGCxGC results |
Reference manual: | RGCxGC.pdf |
Vignettes: |
Introduction to RGCxGC package Customizing 2D chromatogram visualization |
Package source: | RGCxGC_1.1-2.tar.gz |
Windows binaries: | r-devel: RGCxGC_1.1-2.zip, r-release: RGCxGC_1.1-2.zip, r-oldrel: RGCxGC_1.1-2.zip |
macOS binaries: | r-release: RGCxGC_1.1-2.tgz, r-oldrel: RGCxGC_1.1-2.tgz |
Old sources: | RGCxGC archive |
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