Package: MultiTraits 0.2.0
Yan He
MultiTraits: Analyzing and Visualizing Multidimensional Plant Traits
Implements analytical methods for multidimensional plant traits, including Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits, Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and Trait Network analysis. Provides functions for data analysis, visualization, and network metrics calculation. Methods are based on Grime (1974) <doi:10.1038/250026a0>, Pierce et al. (2017) <doi:10.1111/1365-2435.12882>, Westoby (1998) <doi:10.1023/A:1004327224729>, Yang et al. (2022) <doi:10.1016/j.foreco.2022.120540>, Winemiller et al. (2015) <doi:10.1111/ele.12462>, He et al. (2020) <doi:10.1016/j.tree.2020.06.003>.
Authors:
MultiTraits_0.2.0.tar.gz
MultiTraits_0.2.0.tar.gz(r-4.5-noble)MultiTraits_0.2.0.tar.gz(r-4.4-noble)
MultiTraits_0.2.0.tgz(r-4.4-emscripten)MultiTraits_0.2.0.tgz(r-4.3-emscripten)
MultiTraits.pdf |MultiTraits.html✨
MultiTraits/json (API)
NEWS
# Install 'MultiTraits' in R: |
install.packages('MultiTraits', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- PFF - Plant Functional Traits Dataset from Ponderosa Pine Forests Flora
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 days agofrom:84a4443b9e. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 21 2024 |
R-4.5-linux | OK | Dec 21 2024 |
Exports:CSRCSR_plotLHSLHS_plotLHS_strategy_schemeNPTNPT_plotStrate_CSRTNTN_corrTN_metricsTN_plot
Dependencies:backportsbase64encbayesmbslibcachemcheckmatecliclustercolorspacecompositionscorrplotcpp11data.tableDEoptimRdigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2ggrepelggterngluegridExtragtablehexbinhighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatex2explatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpermutepillarpkgconfigplyrprotoR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrobustbaserpartrstudioapisassscalesscatterplot3dstringistringrtensorAtibbletinytexutf8vctrsveganviridisviridisLitewithrxfunyaml