Package: specieschrom 1.0.0

specieschrom: The Species Chromatogram

A simple method to display and characterise the multidimensional ecological niche of a species. The method also estimates the optimums and amplitudes along each niche dimension. Give also an estimation of the degree of niche overlapping between species. See Kleparski and Beaugrand (2022) <doi:10.1002/ece3.8830> for further details.

Authors:Loick Kleparski [aut, cre], Gregory Beaugrand [aut], Universite Littoral Cote d'Opale [cph]

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specieschrom.pdf |specieschrom.html✨
specieschrom/json (API)

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

Peer review:

Bug tracker:https://github.com/loick-klpr/specieschrom/issues

Datasets:
  • data_abundance - Abundance of 14 pseudo-species. A dataset containing the abundance values of 14 pseudo-species in 100 samples. The environmental conditions associated with each samples are described in the environment dataset. Pseudo-species v1 and v2, v3 and v4, v5 and v6, v7 and v8, v9 and v10, v11 and v12, v13 and v14 have the same niche.
  • environment - Three fictive environmental variables A dataset containing the values of three fictive envionemental variables in 100 samples. The corresponding pseudo-species abundance in each sample are available in the data_abundance dataset.

On CRAN:

3.70 score 1 stars 3 scripts 153 downloads 3 exports 34 dependencies

Last updated 2 years agofrom:80f57adc74. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winOKOct 14 2024
R-4.5-linuxOKOct 14 2024
R-4.4-winOKOct 14 2024
R-4.4-macOKOct 14 2024
R-4.3-winOKOct 14 2024
R-4.3-macOKOct 14 2024

Exports:chromato_env16combina_niche3opti_eury_niche2

Dependencies:clicolorRampscolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

specieschrom

Loïck Kléparski and Grégory Beaugrand

Rendered fromReadme.Rmdusingknitr::rmarkdownon Oct 14 2024.

Last update: 2022-10-14
Started: 2022-02-21