biased_trans_matrix: Generate Biased Transition Matrix

In beansrowning/cbRw: Coupled Biased Random Walks

Description

Takes in a data.frame of categorical data and returns a weighted transition matrix which characterizes the edge weights of a directed graph representation of the inter-feature value couplings

Usage

biased_trans_matrix(data, all_data = FALSE)

Arguments

data	a data.frame containing mosly categorical data
all_data	a boolean (default: FALSE) on whether to return additional node and edge data (see Note)

Value

a biased transition matrix of dim [k,k] where k is the number of unique feature values

Note

If all_data is 'TRUE', A list with three members will be returned:

• nodes a tibble containing all relevant information for each node, or feature value

• edges a tibble containing all relevant information for each edge, or feature value coupling

• Wb the biased transition matrix

beansrowning/cbRw documentation built on Oct. 2, 2020, 12:08 a.m.