local_depths {pald} | R Documentation |
Local (Community) Depths
Description
Creates a vector of local depths from a matrix of distances (or dist
object).
Usage
local_depths(d)
Arguments
d |
A matrix of pairwise distances, a |
Details
Local depth is an interpretable probability which reflects aspects of relative position and centrality via distance comparisons (i.e., d(z, x) < d(z, y)).
The average of the local depth values is always 1/2. Cohesion is
partitioned local depth (see cohesion_matrix
); the row-sums of the
cohesion matrix are the values of local depth.
Value
A vector of local depths.
Examples
D <- dist(exdata1)
local_depths(D)
C <- cohesion_matrix(D)
local_depths(C)
## local depths are the row sums of the cohesion matrix
rowSums(C)
## cognate distance data
ld_lang <- sort(local_depths(cognate_dist))
[Package pald version 0.0.4 Index]