attribute_similarity: Attribute similarity matrices
In MNWeiss/aninet: Statistical Models for Animal Social Networks
attribute_similarity R Documentation
Attribute similarity matrices
Description
Generate square matrices of similarity between individuals from individual attribute data
Usage
attribute_similarity(attr, type = "discrete")
Arguments
attr
Vector, individual attributes
type
Character, type of similarity to calculate
Details
The available types of similarity are "discrete" for 1-0 similarity, "absdiff" for negative absolute difference, and "sqdiff" for negative squared difference. If the attribute data is not numeric, the function will default to "discrete".
Value
A square matrix of similarity values
MNWeiss/aninet documentation built on Jan. 31, 2023, 3:55 a.m.
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| attribute_similarity | R Documentation |
Attribute similarity matrices
Description
Generate square matrices of similarity between individuals from individual attribute data
Usage
attribute_similarity(attr, type = "discrete")
Arguments
attr |
Vector, individual attributes |
type |
Character, type of similarity to calculate |
Details
The available types of similarity are "discrete" for 1-0 similarity, "absdiff" for negative absolute difference, and "sqdiff" for negative squared difference. If the attribute data is not numeric, the function will default to "discrete".
Value
A square matrix of similarity values
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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