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This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
Version: | 1.1.28 |
Depends: | R (≥ 4.3), ggplot2 (≥ 3.4.2), eemR (≥ 1.0.1), parallel (≥ 4.3) |
Imports: | dplyr (≥ 1.1.2), tidyr (≥ 1.3.0), stringr (≥ 1.5.0), pracma (≥ 2.3.3), zoo (≥ 1.8-12), tibble (≥ 3.2.1), multiway (≥ 1.0-6), GGally (≥ 2.1.2), graphics (≥ 4.3), doParallel (≥ 1.0.16), drc (≥ 3.0-1), foreach (≥ 1.5.1), data.table (≥ 1.14.8), matrixStats (≥ 1.0.0), MBA (≥ 0.1-0), cdom (≥ 0.1.0), R.matlab (≥ 3.7.0), readr (≥ 2.1.4), gtools (≥ 3.9.4), viridisLite (≥ 0.4.2) |
Suggests: | plotly (≥ 4.9.3), xlsx (≥ 0.6.5), knitr (≥ 1.31), kableExtra (≥ 1.3.4), askpass (≥ 1.1), httr (≥ 1.4.2), rmarkdown (≥ 2.6) |
Published: | 2023-06-16 |
DOI: | 10.32614/CRAN.package.staRdom |
Author: | Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb] |
Maintainer: | Matthias Pucher <matthias.pucher at gmx.net> |
BugReports: | https://github.com/MatthiasPucher/staRdom/issues |
License: | AGPL |
URL: | https://cran.r-project.org/package=staRdom |
NeedsCompilation: | no |
Citation: | staRdom citation info |
Materials: | README |
CRAN checks: | staRdom results |
Reference manual: | staRdom.pdf |
Vignettes: |
Correcting raw data, calculating peaks and indices in EEMS and absorbance (slope) parameters PARAFAC analysis of EEM data to separate DOM components in R |
Package source: | staRdom_1.1.28.tar.gz |
Windows binaries: | r-devel: staRdom_1.1.28.zip, r-release: staRdom_1.1.28.zip, r-oldrel: staRdom_1.1.28.zip |
macOS binaries: | r-release (arm64): staRdom_1.1.28.tgz, r-oldrel (arm64): staRdom_1.1.28.tgz, r-release (x86_64): staRdom_1.1.28.tgz, r-oldrel (x86_64): staRdom_1.1.28.tgz |
Old sources: | staRdom archive |
Please use the canonical form https://CRAN.R-project.org/package=staRdom to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.