prepDendrograms: Create a multivariate functional similarity dendrogram for...

In nicholasjclark/BBS.occurrences: BBS community composition and co-occurrence analysis

Description

Create a multivariate functional similarity dendrogram for species using lists of trait datasets

Usage

prepDendrograms(func.datasets, prep.types)

Arguments

func.datasets	A list containing dataframes of trait variables, where rownames of each dataframe represent the species' names and columns represent trait variables.
prep.types	A list describing which prepping method to apply to each dataset in func.datasets. Each prep method must match one of the following: 'prep.fuzzy' (for proportional variables), 'prep.binary' (for binary variables), or 'Q' (for continuous variables). For more information about prep methods, see dist.ktab

Details

Multiple functional trait datasets are incorporated with equal weights to create a mixed-variable coefficient of distance, which is a generalized Gower's coefficient of distance. This matrix is then scaled to range [0, 1] and returned.

See Also

dist.ktab

nicholasjclark/BBS.occurrences documentation built on July 19, 2020, 8:31 p.m.