#' @title Species Evenness
#'
#' @description Calculates the species evenness MCAT metric for the input
#' individual mussel data frame.
#'
#' @export
#' @param individuals data frame; a data frame of individual mussel records.
#'
#' @return A data frame of sampled sites with the calculated species evenness
#' MCAT metric
#'
#' @examples
#' # Create the individual mussel data frame
#' individuals <- mcat::individuals
#'
#' # Calculate species evenness for the individuals data frame
#' se <- species_evenness(individuals)
#'
#' @importFrom dplyr group_by summarize
#' @importFrom labdsv matrify
#' @importFrom vegan diversity specnumber
#'
species_evenness <- function(individuals) {
# Create the `number_live` field
individuals$number_live <- ifelse(individuals$Status == "Live", 1, 0)
# Group by SampleID
individuals %>%
dplyr::group_by(SampleID, Ename) %>%
dplyr::summarize(SUM_number_live = sum(number_live)) -> sample_species
# Convert sample_species from a grouped df to a regular data frame
sample_species_df <- as.data.frame(sample_species)
# Convert to vegan community data matrix-like format using labdsv::matrify
sample_species_matrix <- labdsv::matrify(sample_species_df)
# Calculate the Shannon-Weaver diversity index
shannon_diversity <- vegan::diversity(sample_species_matrix)
# Calculate the number species per site (see ?vegan::diversity)
species_number <- vegan::specnumber(sample_species_matrix)
# Use the following equation to calculate Pielou's evenness (See the vegan
# 'Diversity Vignette' for details).
species_pielou_evenness <- shannon_diversity/log(species_number)
# Set NaN pielou_evenness values to zero
species_pielou_evenness <- ifelse(is.nan(species_pielou_evenness),
0, species_pielou_evenness)
# Create a data frame of results
pielou <- data.frame(SampleID = names(species_pielou_evenness),
shannon_diversity,
species_number,
species_pielou_evenness)
return(pielou)
}
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