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RamanMP
View on CRAN: Click
here
Download and install RamanMP package within the R console
Install from CRAN:
install.packages("RamanMP")
Install from Github:
library("remotes")
install_github("cran/RamanMP") Install by package version:
library("remotes")
install_version("RamanMP", "1.0") Attach the package and use:
library("RamanMP")
Maintained by
Veronica Nava
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-09
Latest Update: 2021-07-09
Description:
Pre-processing and polymer identification of Raman spectra of plastics. Pre-processing includes normalisation functions, peak identification based on local maxima, smoothing process and removal of spectral region of no interest. Polymer identification can be performed using Pearson correlation coefficient or Euclidean distance (Renner et al. (2019), ), and the comparison can be done with a user-defined database or with the database already implemented in the package, which currently includes 356 spectra, with several spectra of plastic colorants.
How to cite:
Veronica Nava (2021). RamanMP: Analysis and Identification of Raman Spectra of Microplastics. R package version 1.0, https://cran.r-project.org/web/packages/RamanMP. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:21), 1.0 (2021-07-09 10:10)
Other packages that cited RamanMP R package
View RamanMP citation profile
Other R packages that RamanMP depends,
imports, suggests or enhances
Complete documentation for RamanMP
Functions, R codes and Examples using
the RamanMP R package
Some associated functions: MPdatabase . matrix_unknown . norm.SNV . norm.min.max . peak.finder . region.remove . savit.gol . single_unknown . spectra.alignment . spectra.corr.mat . spectra.corr . spectra.dist.mat . spectra.dist .
Some associated R codes: norm.SNV.R . norm.min.max.R . peak.finder.R . region.remove.R . savit.gol.R . spectra.alignment.R . spectra.corr.R . spectra.corr.mat.R . spectra.dist.R . spectra.dist.mat.R . Full RamanMP package functions and examples
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