Package: TAD 1.0.1

Raphaël Martin
TAD: Realize the Trait Abundance Distribution
The “TAD” package compiled an analytical framework 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_1.0.1.tar.gz
TAD_1.0.1.tar.gz(r-4.7-any)TAD_1.0.1.tar.gz(r-4.6-any)
TAD_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TAD/json (API)
| # 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 from:79efedb79f. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 201 | ||
| source / vignettes | OK | 311 | ||
| linux-release-x86_64 | OK | 194 | ||
| wasm-release | OK | 141 |
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
Last update: 2024-11-28
Started: 2024-11-28
Last update: 2024-11-28
Started: 2024-11-28
Last update: 2024-11-28
Started: 2024-11-28
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 |