Functional richness, evenness and divergence following Villeger et al. 2008

Compute the 3 functional diversity indices (multi-traits) presented in Villeger et al. 2008 (Ecology 89 2290-2301): Functional richness (FRic), Functional evenness (FEve), Functional divergence (FDiv)

Usage

Fred(traits, ind.plot)

Arguments

traits: Individual Matrix of traits with traits in columns. NA are not allowed .
ind.plot: Factor defining the name of the plot in which the individual is.

Value

list of 4 vectors with values of indices in each sites

$nbind: number of individuals
$FRic: functional richness index
$FEve: functional evenness index
$FDiv: functional divergence index

Details

For each trait, values are standardized (mean=0 and standard deviation=1) For FRic computation, number of individuals must be higher than number of traits

Author

Sebastien Villeger sligthy modified by Adrien Taudiere

Examples

# \donttest{
  # Simulate a small dataset: 6 plots x 10 individuals, 4 traits, no NAs
  set.seed(42)
  n <- 60
  traits_sim <- matrix(rnorm(n * 4), nrow = n, ncol = 4,
                       dimnames = list(NULL, c("T1", "T2", "T3", "T4")))
  plot_sim <- factor(rep(paste0("P", 1:6), each = 10))
  fred <- Fred(traits_sim, plot_sim)
#> 
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# }