matrix.rowsimilarities: Calculates the similarity between rows of a matrix

In kasperwelbers/network-tools: Network analysis tools

Description

Calculates the similarity between rows of a matrix using various similarity/distance measures. Output can be a matrix or a graph object in the igraph format

Usage

matrix.rowsimilarities(mat, similarity.measure, as.graph = F,
  min.similarity = NULL, decimals = 3)

Arguments

matrix	A matrix object, which can be a sparse matrix.
similarity.measure	A character string giving a method for computing similarity. Options are: 'correlation', 'cosine','conditional_probability','coincidence_count' and 'overlap_jacard'.
as.graph	A character string indicating whether output should be a 'graph' (instead of a matrix). The graph is directed if assymetrical similarity measures are used ('conditional_probability' or 'overlap_jacard')

Value

An adjacency matrix or graph object

kasperwelbers/network-tools documentation built on May 20, 2019, 7:38 a.m.