get_similarity: Creates similarity matrices based on an input matrix.

In jorgenfrost/compost: Compute Complexity Metrics

Description

Takes an input matrix with regions in rows and units in columns, where elements are a binary incidence (fx RCA). Calculates the one of three possible similarity-metrics: proximity, Association Strength, or Jaccard coefficient. Returns a unit x unit matrix with pairwise similarity values as elements.

Usage

get_similarity(mat, method, diag0 = TRUE)

Arguments

mat	Binary matrix that contains regions in rows, units in columns and presence/incidence in elements.
method	String that lists the method to calculate similarity. Options are: "proximty", "association", or jaccard". Only takes one argument. For more similarity-values, run function again.
diag0	Logical. Decides whether diagonal in rel_mat should be set to 0.

Value

rel_mat Unit x unit matrix that contains pair-wise similarity value is elements. The diagonal is set to 0.

jorgenfrost/compost documentation built on Nov. 4, 2019, 3:10 p.m.