calc_sna_pars_dyad: Calculate various individual social network parameters based...
In urskalbitzer/daginR: Analyses of Monkey Data from Scan and Focal Samples
View source: R/calculate-sna-pars.R
Description
Determines Strength, Betweenness, Eigenvector centrality, Clustering
coefficient (cc), Reach. Works with weighted, but undirected edges
Usage
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calc_sna_pars_dyad(
edge_table,
indA_col = "IndA",
indB_col = "IndB",
weight_col = "DSI"
)
Arguments
edge_table
Table with two individual and one weight column
indA_col, indB_col, weight_col
Specify names of columns for the two
individuals and the weight to be used in the SNA
urskalbitzer/daginR documentation built on Jan. 21, 2020, 1:26 a.m.
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View source: R/calculate-sna-pars.R
Description
Determines Strength, Betweenness, Eigenvector centrality, Clustering coefficient (cc), Reach. Works with weighted, but undirected edges
Usage
1 2 3 4 5 6 | calc_sna_pars_dyad(
edge_table,
indA_col = "IndA",
indB_col = "IndB",
weight_col = "DSI"
)
|
Arguments
edge_table |
Table with two individual and one weight column |
indA_col, indB_col, weight_col |
Specify names of columns for the two individuals and the weight to be used in the SNA |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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