Calculate Quantitative Ethnobotany Indices

An implementation of the quantitative ethnobotany indices in R. The goal is to provide an easy-to-use platform for ethnobotanists to assess the cultural significance of plant species based on informant consensus. The package closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio, J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria (Northern Spain) 1. Economic Botany, 62(1), 24-39. .


The goal of ethnobotanyR is to make it easier for ethnobotanists to calculate quantitative ethnobotany indices.<img src="vignettes/ethnobotanyR.png" style="background:none; border:none; box-shadow:none;height="20%"; width="20%";">

Installation

You can install the released version of ethnobotanyR from CRAN with:

install.packages("ethnobotanyR")

You can install the working version of ethnobotanyR from GitHub with:

devtools::install_github(“CWWhitney/ethnobotanyR”)

News

ethnobotanyR News

<img src="vignettes/ethnobotanyR.png" style="background:none; border:none; box-shadow:none;height="20%"; width="20%";">

ethnobotanyR 0.1.4 is a patch:

The Radial_plot() function is now added and can offer a quick descriptive overview of the results of different indices per species.

The FLs() function is now included to calculate the fidelity level (FL) of species uses in ethnobotany studies.

Plots made with ethnoChord() and ethnoChordUser() are more orderly now that the informants and species lists are arranged.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ethnobotanyR")

0.1.7 by Cory Whitney, 8 months ago


https://CRAN.R-project.org/package=ethnobotanyR


Report a bug at https://github.com/CWWhitney/ethnobotanyR/issues


Browse source code at https://github.com/cran/ethnobotanyR


Authors: Cory Whitney [aut, cre]


Documentation:   PDF Manual  


GPL license


Imports circlize, cowplot, dplyr, ggplot2, ggridges, reshape, magrittr

Suggests broom, knitr, pbapply, rmarkdown, tidyr, stringr


See at CRAN