#' tidy_beta_multi_abund
#'
#' Representacion grafica de las matrices de disimilaridad resultado de
#' la funcion "beta.pair". Visualizacion grafica de Turnover y Nestedness.
#'
#'
#' @param x matriz de p/a o abundancia de especies.
#' @param index.family pude trabajar con "bray" o "ruzicka".
#' @return A data_frame.
#' @export
#'
tidy_beta_multi_abund <- function (x, index.family = "bray")
{requireNamespace("tidyverse")
requireNamespace("betapart")
index.family <- match.arg(index.family, c("bray", "ruzicka"))
if (!inherits(x, "betapart.abund")) {
x <- betapart::betapart.core.abund(x)
}
maxbibj <- sum(x$pair.max.not.shared.abund)
minbibj <- sum(x$pair.min.not.shared.abund)
switch(index.family, bray = {
beta.bray.bal <- minbibj/(minbibj + x$multiple.shared.abund)
beta.bray.gra <- (x$multiple.shared.abund/(minbibj +
x$multiple.shared.abund)) * ((maxbibj - minbibj)/((2 *
x$multiple.shared.abund) + maxbibj + minbibj))
beta.bray <- (minbibj + maxbibj)/(minbibj + maxbibj +
(2 * x$multiple.shared.abund))
multi <- dplyr::data_frame(beta.BRAY.BAL = beta.bray.bal, beta.BRAY.GRA = beta.bray.gra,
beta.BRAY = beta.bray)
}, ruzicka = {
beta.ruz.bal <- (2 * minbibj)/((2 * minbibj) + x$multiple.shared.abund)
beta.ruz.gra <- (x$multiple.shared.abund/((2 * minbibj) +
x$multiple.shared.abund)) * ((maxbibj - minbibj)/((x$multiple.shared.abund) +
maxbibj + minbibj))
beta.ruz <- (minbibj + maxbibj)/(minbibj + maxbibj +
x$multiple.shared.abund)
multi <- dplyr::data_frame(beta.RUZ.BAL = beta.ruz.bal, beta.RUZ.GRA = beta.ruz.gra,
beta.RUZ = beta.ruz)
})
return(multi)
}
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