#' Tests the accuracy of the environment identification of a set of samples
#'
#' This function tests the accuracy of the environment estimation
#'
#' @param com The community data used to select indicator species.
#' @param group Vector of the sample grouping of the community data.
#' @param times to repeat the test.
#' @param n Subsample size.
#' @param alfa Significance level used for the test.
#'
#'
#' @return A list with the accuracy of the estimation for each group.
#' @export
#'
#' @examples
#'
#' data(soilandfauna)
#'
#' # Select community (species) data
#'
#' com <- soilandfauna[,18:60]
#'
#' # Select grouping factor
#' group <- soilandfauna[,1]
#'
#' identify_env_test(com, group, times = 100, n = 4)
#'
identify_env_test <- function(com, group, times = 999, n = 5, alfa=0.05){
indicator.species <- select_indicator_species(com,group,alfa)
acu <- lapply(unique(group), function(x) {
com.gr <- com[group==x,]
R <- rep(0,times)
R <- lapply(1:times,
function(x){identify_env(com.gr[sample(nrow(com.gr),
size = n,
replace = TRUE),],
indicator.species,
group)$belonging.env
})
out <-sum(R==x)
data.frame(group= x, accuracy= out/times)
})
acu
}
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