Package: TAD 1.0.0
TAD: Realize the Trait Abundance Distribution
This analytical framework is based on an analysis of the shape of the trait abundance distributions to better understand community assembly processes, and predict community dynamics under environmental changes. This framework mobilized a study of the relationship between the moments describing the shape of the distributions: the skewness and the kurtosis (SKR). The SKR allows the identification of commonalities in the shape of trait distributions across contrasting communities. Derived from the SKR, we developed mathematical parameters that summarise the complex pattern of distributions by assessing (i) the R², (ii) the Y-intercept, (iii) the slope, (iv) the functional stability of community (TADstab), and, (v) the distance from specific distribution families (i.e., the distance from the skew-uniform family a limit to the highest degree of evenness: TADeve).
Authors:
TAD_1.0.0.tar.gz
TAD_1.0.0.tar.gz(r-4.5-noble)TAD_1.0.0.tar.gz(r-4.4-noble)
TAD_1.0.0.tgz(r-4.4-emscripten)TAD_1.0.0.tgz(r-4.3-emscripten)
TAD.pdf |TAD.html✨
TAD/json (API)
NEWS
# Install 'TAD' in R: |
install.packages('TAD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 29 days agofrom:1821aa6069. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-linux | OK | Nov 28 2024 |
Exports:CONSTANTSgenerate_random_matrixlaunch_analysis_tadload_abundance_dataframeload_stat_skr_paramload_statistics_per_obsload_statistics_per_randomload_weighted_momentsmoments_graphnull_model_distribution_statssave_abundance_dataframesave_stat_skr_paramsave_statistics_per_obssave_statistics_per_randomsave_weighted_momentsskr_graphskr_param_graphweighted_mvsk
Dependencies:codetoolsdigestdoFutureforeachfuturefuture.applyglobalsiteratorslistenvmblmparallelly
Best strategy
Rendered frombest-strategy.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-11-28
Started: 2024-11-28
Get outputs in different formats
Rendered fromoutput-different-formats.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-11-28
Started: 2024-11-28
graph-outputs
Rendered fromgraph-outputs.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-11-28
Started: 2024-11-28
Multiprocessing and single-core processing
Rendered fromgeneral-use-of-tad.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-11-28
Started: 2024-11-28
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The CONSTANTS constant | CONSTANTS |
Generate random matrix | generate_random_matrix |
Launch the analysis | launch_analysis_tad |
load_abundance_dataframe | load_abundance_dataframe |
load_stat_skr_param | load_stat_skr_param |
load_statistics_per_obs | load_statistics_per_obs |
load_statistics_per_random | load_statistics_per_random |
load_weighted_moments | load_weighted_moments |
moments_graph | moments_graph |
Compare a value to random values | null_model_distribution_stats |
save_abundance_dataframe | save_abundance_dataframe |
save_stat_skr_param | save_stat_skr_param |
save_statistics_per_obs | save_statistics_per_obs |
save_statistics_per_random | save_statistics_per_random |
save_weighted_moments | save_weighted_moments |
skr_graph | skr_graph |
skr_param_graph | skr_param_graph |
Compute the weighted mean, variance, skewness and kurtosis | weighted_mvsk |