Package: MultiTraits 0.1.0

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:Yan He [aut, cre]

MultiTraits_0.1.0.tar.gz
MultiTraits_0.1.0.tar.gz(r-4.5-noble)MultiTraits_0.1.0.tar.gz(r-4.4-noble)
MultiTraits_0.1.0.tgz(r-4.4-emscripten)MultiTraits_0.1.0.tgz(r-4.3-emscripten)
MultiTraits.pdf |MultiTraits.html✨
MultiTraits/json (API)

# Install 'MultiTraits' in R:

install.packages('MultiTraits', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

PFF - Plant Functional Traits Dataset from Ponderosa Pine Forests Flora
WH - Wetland Herbaceous Plant Traits Dataset

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 6 scripts 12 exports 84 dependencies

Last updated 3 hours agofrom:651e7536cc. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 26 2024
R-4.5-linux	OK	Nov 26 2024

Exports:CSR CSR_plot LHS LHS_plot LHS_strategy_scheme NPT NPT_plot Strate_CSR TN TN_corr TN_metrics TN_plot

Dependencies:backports base64enc bayesm bslib cachem checkmate cli cluster colorspace compositions corrplot cpp11 data.table DEoptimR digest evaluate fansi farver fastmap fontawesome foreign Formula fs ggplot2 ggrepel ggtern glue gridExtra gtable hexbin highr Hmisc htmlTable htmltools htmlwidgets igraph isoband jquerylib jsonlite knitr labeling latex2exp lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme nnet permute pillar pkgconfig plyr proto R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown robustbase rpart rstudioapi sass scales scatterplot3d stringi stringr tensorA tibble tinytex utf8 vctrs vegan viridis viridisLite withr xfun yaml

MultiTraits_tutorial

Rendered fromMultiTraits_tutorial.Rmdusingknitr::rmarkdownon Nov 26 2024.

Last update: 2024-11-26
Started: 2024-11-26

Citation

Readme and manuals

Help Manual

Help page	Topics
Calculate CSR strategy for multiple plant species	CSR
Create a ternary plot of CSR strategies	CSR_plot
Calculate LHS (Leaf-Height-Seed) Strategy	LHS
Generate a 3D scatterplot of plant traits	LHS_plot
Create a table of Leaf-Height-Seed (LHS) strategy types	LHS_strategy_scheme
Perform nested principal component analysis (PCA of PCAs) for ecological niche periodicity	NPT
Plot results from nested principal component analysis	NPT_plot
Plant Functional Traits Dataset from Ponderosa Pine Forests Flora (PFF)	PFF
Calculate CSR (Competition-Stress-Ruderal) Strategy	Strate_CSR
Generate Plant Trait Network	TN
Calculate and Visualize Plant Trait Correlation Network	TN_corr
Calculate Node and Global Metrics for Trait Networks	TN_metrics
Plot Trait Network Graph	TN_plot
Wetland Herbaceous Plant Traits Dataset	WH