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

data(finch.ind)
if (FALSE) { # \dontrun{
#For most multivariate functions we need to replace (or exclude) NA values. 
#For this example, we use the package mice to complete the data.

comm<-t(table(ind.plot.finch,1:length(ind.plot.finch)))

library(mice)
traits = traits.finch
mice<-mice(traits.finch)
traits.finch.mice<-complete(mice)
fred<-Fred(traits.finch.mice, ind.plot.finch)
} # }