rgcxgc
An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data
Science Score: 33.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 24 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com, wiley.com, acs.org -
✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (17.9%) to scientific vocabulary
Keywords
chemometrics
gcxgc
multiway-algorithms
preprocessing
r
Last synced: 6 months ago
·
JSON representation
Repository
An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data
Basic Info
- Host: GitHub
- Owner: DanielQuiroz97
- License: other
- Language: R
- Default Branch: master
- Homepage: https://danielquiroz97.github.io/RGCxGC/
- Size: 126 MB
Statistics
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 2
- Releases: 1
Topics
chemometrics
gcxgc
multiway-algorithms
preprocessing
r
Created about 7 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
License
README.Rmd
--- output: github_document ---[](https://cran.r-project.org/package=RGCxGC) [](https://cran.r-project.org/package=RGCxGC) [](https://cran.r-project.org/package=RGCxGC) [](https://cran.r-project.org/package=RGCxGC) Download [](https://github.com/DanielQuiroz97/RGCxGC/actions/workflows/R-CMD-check.yaml) ```{r setup, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" ) ``` # RGCxGC The goal of RGCxGC is to provide an easy-to-use platform to analyze two-dimensional gas chromatography data. RGCxGC offers common pre-processing algorithms for signal enhancement, such as baseline correction based on [asymetric least squares](https://pubs.acs.org/doi/abs/10.1021/ac034800e), smoothing based on the [Whittaker smoother](https://pubs.acs.org/doi/abs/10.1021/ac034173t), and peak alignment [2D COW](https://pubs.acs.org/doi/abs/10.1021/ac7024317). Furthermore, the multiway principal component analysis is implemented based on the [Wold's approach](https://onlinelibrary.wiley.com/doi/abs/10.1002/cem.1180010107). | Quick Links | |:-------| | [**RGCxGC Paper**](https://www.sciencedirect.com/science/article/abs/pii/S0026265X20304914) | | [**Installation**](https://github.com/DanielQuiroz97/RGCxGC#Installation) | | [**CRAN Version**](https://cran.r-project.org/package=RGCxGC) | | Tutorials | |:-------| | [**Introduction to RGCxGC package**](https://cran.r-project.org/web/packages/RGCxGC/vignettes/Explanation.html) | | [**Customizing 2D chromatogram visualization**](https://cran.rstudio.com/web/packages/RGCxGC/vignettes/plotting_chromatograms.html)| ## Installation Install the released version of RGCxGC from [CRAN](https://CRAN.R-project.org) with `install.packages("RGCxGC")`. Install the working version of RGCxGC from [GitHub](https://github.com) with `devtools::install_github("DanielQuiroz97/RGCxGC")`. ## Citing RGCxGC Quiroz-Moreno, C., Furlan, M. F., Belinato, J. R., Augusto, F., Alexandrino, G. L., & Mogollón, N. G. (2020). RGCxGC toolbox: An R-package for data processing in comprehensive two-dimensional gas chromatography-mass spectrometry. Microchemical Journal, 156, 104830. [https://doi.org/10.1016/j.microc.2020.104830](https://doi.org/10.1016/j.microc.2020.104830) ## References Eilers, P. H. (2003). A Perfect Smoother. Analytical Chemistry, 75(14), 3631-3636. [https://doi.org/10.1021/ac034173t](https://doi.org/10.1021/ac034173t) Eilers, P. H. (2004). Parametric Time Warping. Analytical Chemistry, 76(2), 404-411. [https://doi.org/10.1021/ac034800e](https://doi.org/10.1021/ac034800e) Wold, S., Geladi, P., Esbensen, K., & Öhman, J. (1987). Multi-way principal components-and PLS-analysis. Journal of Chemometrics, 1(1), 41-56. [https://doi.org/10.1002/cem.1180010107](https://doi.org/10.1002/cem.1180010107) Zhang, D., Huang, X., Regnier, F. E., & Zhang, M. (2008). Two-Dimensional Correlation Optimized Warping Algorithm for Aligning GC×GC−MS Data. Analytical Chemistry, 80(8), 2664-2671. [https://doi.org/10.1021/ac7024317]([https://doi.org/10.1021/ac7024317])
Owner
- Name: Cristian Quiroz-Moreno
- Login: DanielQuiroz97
- Kind: user
- Location: Columbus, OH
- Company: Ohio State Unversity
- Website: https://danielquiroz97.gitlab.io
- Twitter: cristianquirozd
- Repositories: 2
- Profile: https://github.com/DanielQuiroz97
Biotechnologist, interested in data science, focused on chemometrics and bioinformatics.
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| DanielQuiroz97 | c****7@g****m | 82 |
| DanielQuiroz97 | c****e@C****c | 2 |
| Quiroz Moreno | q****1@c****u | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 5
- Total pull requests: 2
- Average time to close issues: 5 months
- Average time to close pull requests: 5 minutes
- Total issue authors: 5
- Total pull request authors: 1
- Average comments per issue: 0.8
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- MikeDereviankin (1)
- DominikGuggisberg (1)
- Shideler (1)
- HenrikBengtsson (1)
- kanandz (1)
Pull Request Authors
- DanielQuiroz97 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 228 last-month
- Total docker downloads: 21,613
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: RGCxGC
Preprocessing and Multivariate Analysis of Bidimensional Gas Chromatography Data
- Homepage: https://github.com/DanielQuiroz97/RGCxGC
- Documentation: http://cran.r-project.org/web/packages/RGCxGC/RGCxGC.pdf
- License: MIT + file LICENSE
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Latest release: 1.2.0
published about 3 years ago
Rankings
Forks count: 17.8%
Stargazers count: 19.8%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 37.3%
Downloads: 83.5%
Maintainers (1)
Last synced:
6 months ago
Dependencies
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION
cran
- R >= 4.2.0 depends
- RNetCDF * depends
- ptw * depends
- Rdpack * imports
- colorRamps * imports
- graphics * imports
- methods * imports
- stats * imports
- knitr * suggests
- lattice * suggests
- prettydoc * suggests
- rmarkdown * suggests
[](https://cran.r-project.org/package=RGCxGC)
[](https://cran.r-project.org/package=RGCxGC)
[](https://cran.r-project.org/package=RGCxGC)
[](https://cran.r-project.org/package=RGCxGC)