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Analysis and Metrics","monthly_downloads":816,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"---\noutput: github_document\n---\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse  = TRUE,\n  comment   = \"#\u003e\",\n  fig.path  = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n\n\nmFD \u003cimg src=\"man/figures/hexasticker_mFD.png\" align=\"right\" style=\"float:right; height:120px;\"/\u003e\n=========================================================\n\n\n\n\u003c!-- badges: start --\u003e\n[![CRAN status](https://www.r-pkg.org/badges/version/mFD)](https://CRAN.R-project.org/package=mFD/)\n[![R CMD check](https://github.com/CmlMagneville/mFD/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/CmlMagneville/mFD/actions/workflows/R-CMD-check.yaml)\n[![Website deployment](https://github.com/CmlMagneville/mFD/actions/workflows/pkgdown.yaml/badge.svg)](https://github.com/CmlMagneville/mFD/actions/workflows/pkgdown.yaml)\n[![License: GPL-2)](https://img.shields.io/badge/License-GPL%202-blue.svg)](https://choosealicense.com/licenses/gpl-2.0/)\n[![LifeCycle](man/figures/lifecycle/lifecycle-stable.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n[![Project Status: Active](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)\n[![](http://cranlogs.r-pkg.org/badges/grand-total/mFD?color=blue)](https://cran.r-project.org/package=mFD)\n\u003c!-- badges: end --\u003e\n\n\n\nThe `mFD` package provides a **\"user friendly\" interface** to compute a \n**global assessment of functional diversity** by gathering computation of alpha \nand beta functional indices. As no package before, it guides users through \nfunctional analysis with one function per action to complete, several arguments \nthat can be changed and allows personalized graphical outputs. Various tutorials \nare available on the mFD website to guide the user through the functional \nworkflow.\n\n\n## Installation\n\nYou can install the stable version from [CRAN](https://cran.r-project.org/) with:\n\n```{r, eval = FALSE}\n# Install stable version of \u003c mFD \u003e from CRAN ----\ninstall.packages(\"mFD\")\n```\n\nOr you can install the development version from [GitHub](https://github.com/) with:\n\n```{r, eval = FALSE}\n## Install \u003c remotes \u003e package (if not already installed) ----\nif (!requireNamespace(\"remotes\", quietly = TRUE)) {\n  install.packages(\"remotes\")\n}\n\n## Install dev version of \u003c mFD \u003e from GitHub ----\nremotes::install_github(\"CmlMagneville/mFD\", build_vignettes = TRUE)\n```\n\n\n## Get started\n\n```{r, eval = FALSE}\nlibrary(\"mFD\")\n```\n\nTo compute functional diversity indices, users need:\n\n- a data frame summarizing species traits (species in rows, traits in columns). \nThe `mFD` package works with all kind of traits: quantitative, ordinal, nominal, \ncircular, and fuzzy-coded.\n\n- a matrix summarizing species gathering into assemblages (assemblages in rows, \nspecies in columns). All assemblages must at least contain one species.\n\n- a data frame summarizing traits category (first column with traits name, \nsecond column with traits type, third column with fuzzy name of fuzzy traits - \nif no fuzzy traits: NA).\n\nFor a complete understanding of the functional workflow and the package \npossibilities, please refer to the \n[mFD General Workflow](https://cmlmagneville.github.io/mFD/articles/mFD_general_workflow.html) and other tutorial on the [mFD website](https://cmlmagneville.github.io/mFD/).\n\n\n## Citation\n\nPlease cite this package as:\n\n_Magneville, C., Loiseau, N., Albouy, C., Casajus, N., Claverie, T., Escalas, A., Leprieur, F., Maire, E., Mouillot, D., Villéger, S._ (2022). \nmFD: an R package to compute and illustrate the multiple facets of functional diversity. \n_Ecography_ https://onlinelibrary.wiley.com/doi/10.1111/ecog.05904\n\nYou can also run:\n\n```{r, eval = FALSE}\ncitation(\"mFD\")\n```\n\n\n## Contributions\n\nSV, NL, CA, FL and CM coded the functions and their help.\nSV and CM led tutorial writings. All authors tested the functions\nand contributed to writing of helps and tutorials.\nNC optimized the package and made it ready for CRAN submission. \n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["traits"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/194102","html_url":"https://ost.ecosyste.ms/projects/194102"}