| get.matrix.adjacency.both | R Documentation |
Function to create a firm-firm (FF) matrix based on both common ownership and board interlocks
get.matrix.adjacency.both(
...,
ties = 3,
id_as_firm_name = NULL,
Matrix = NULL,
self_ties = FALSE,
combining = "sum"
)
... |
Either multiple objects of class |
ties |
Type of ties to create. Defaults to |
id_as_firm_name |
Whether to use the ticker as the firm's name. Defaults to |
Matrix |
Whether to use the |
self_ties |
Whether to allow self-ties (a 'loop' in graph theory). Defaults to |
combining |
How to combine the FF matrix for managers and that for owners (see Details); |
The possible values of ties and their effect relative to the value of who are:
binary or 1 for binary ties: 1 if there is at least one common manager or owner, 0 otherwise.
naive, or 2 for 'naively' valued ties indicating the number of common managers and owners.
share or 3 (the default) for 'normalised' tie values. The actual value depends on combining:
for sum (the default), the sum of the share of i's owners who are also amongst j's owners and the share of i's managers who are also amongst j's managers (normalised to 2);
for mean or avg, the mean of the share of i's owners who are also amongst j's owners and the share of i's managers who are also amongst j's managers (normalised to 1);
for max, the maximum between the share of i's owners who are also amongst j's owners and the share of i's managers who are also amongst j's managers (normalised to 1);
for min, the minimum between the share of i's owners who are also amongst j's owners and the share of i's managers who are also amongst j's managers (normalised to 1);
A matrix object of class financial_matrix(possibly using the Matrix package)
Telarico, Fabio Ashtar
FF.
Other Internal matrix (de)constructrs:
extract.matrix(),
get.matrix.adjacency(),
load.Matrix()
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