eff_num_func_d

eff_num_func_d(adf_freq, q = 1, D, tau = NULL)

Arguments

adf_freq

A data frame of functional "frequencies" - i.e. f_i/sum(f_i)

q

Order of hill number used for index. Defaults to q=1, as in Shannon Diversity

D

A distance matrix describing dissimilarity between functions.

tau

A cutoff for degree of dissimilarity under which functions are considered to be different. If tau is the minimum non-zero value of D, all functions are different. if tau is the maximum value of D are greater, all functions are considered the same.

Value

A vector of effective number of functions

References

Chao, A., Chiu, C.-H., Villéger, S., Sun, I.-F., Thorn, S., Lin, Y.-C., Chiang, J.-M. and Sherwin, W. B. 2019. An attribute-diversity approach to functional diversity, functional beta diversity, and related (dis)similarity measures. Ecological Monographs. 89: e01343.