Package: RamanMP 1.0

RamanMP: Analysis and Identification of Raman Spectra of Microplastics

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), <doi:10.1016/j.trac.2018.12.004>), 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.

Authors:Veronica Nava [aut, cre], Maria Luce Frezzotti [ctb], Barbara Leoni [ctb]

RamanMP_1.0.tar.gz
RamanMP_1.0.zip(r-4.5)RamanMP_1.0.zip(r-4.4)RamanMP_1.0.zip(r-4.3)
RamanMP_1.0.tgz(r-4.4-any)RamanMP_1.0.tgz(r-4.3-any)
RamanMP_1.0.tar.gz(r-4.5-noble)RamanMP_1.0.tar.gz(r-4.4-noble)
RamanMP_1.0.tgz(r-4.4-emscripten)RamanMP_1.0.tgz(r-4.3-emscripten)
RamanMP.pdf |RamanMP.html
RamanMP/json (API)

# Install 'RamanMP' in R:
install.packages('RamanMP', repos = c('https://veronicanava.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/veronicanava/ramanmp/issues

Datasets:
  • MPdatabase - Database with Raman spectra of plastic polymers and pigments
  • matrix_unknown - Matrix with 4 unknown Raman spectra of plastic polymers
  • single_unknown - Matrix with 1 unknown Raman spectra of plastic polymer

On CRAN:

3.30 score 4 stars 1 scripts 132 downloads 10 exports 60 dependencies

Last updated 3 years agofrom:312260153d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winNOTENov 06 2024
R-4.5-linuxNOTENov 06 2024
R-4.4-winNOTENov 06 2024
R-4.4-macNOTENov 06 2024
R-4.3-winNOTENov 06 2024
R-4.3-macNOTENov 06 2024

Exports:norm.min.maxnorm.SNVpeak.finderregion.removesavit.golspectra.alignmentspectra.corrspectra.corr.matspectra.distspectra.dist.mat

Dependencies:clicolorspacecommonmarkcurldplyrfansifarverforecastfracdiffgenericsggplot2ggrepelggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelmtestmagrittrmarkdownMASSMatrixmgcvmunsellnlmennetpillarpkgconfigpngquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesstinepackstringistringrtibbletidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxml2xtszoo