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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