Container for class powermean
.
results
data.frame
containing rdiversity output
measure
object of class character
naming the diversity
measure being calculated
type_abundance
two-dimensional matrix
of mode numeric
with rows as types (species), columns as subcommunities, and each
element containing the relative abundance of types in each subcommunity
relative to the metacommunity as a whole. In the phylogenetic case, this
corresponds to the proportional abundance of historical species, which is
calculated from the proportional abundance of terminal taxa
ordinariness
two-dimensional matrix
of mode numeric
with rows as types, columns as subcommunities, and elements containing the
ordinariness of types within subcommunities
subcommunity_weights
vector
of mode numeric
containing
subcommunity weights
type_weights
two-dimensional matrix
of mode numeric
,
with rows as types, columns as subcommunities, and elements containing
weights of types within a subcommunity
dat_id
object of class character
describing the class of
distance / similarity being used, e.g. "naive", "taxonomic", and so on
similarity_components
list containing the components necessary to
calculate similarity. This list is empty when precompute_dist = TRUE
when calculating distance. When a pairwise distance matrix is too large and
precompute_dist = FALSE
, this list contains all the information
required to calculate pairwise distance between types
similarity_parameters
list containing parameters associated with
converting pairwise distances to similarities (the dist2sim()
arguments)