entropy: Computes Shannon and Weaver's entropy
In dominikjung42/dstools: Toolbox for data science and business data analytics
entropy R Documentation
Computes Shannon and Weaver's entropy
Description
Computes standard and normalized entropy based on Shannon and
Weavers' mathematical theory of communication (1948).
Usage
entropy(x = NULL, normalize = FALSE)
Arguments
x
A vector for entropy computation
normalize
Default is FALSE. Set TRUE to get normalized entropy.
Value
entropy value
Examples
entropy(x = c(0,0,1,1))
entropy(x = c(0,0,0,0))
dominikjung42/dstools documentation built on June 16, 2024, 2:40 a.m.
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| entropy | R Documentation |
Computes Shannon and Weaver's entropy
Description
Computes standard and normalized entropy based on Shannon and Weavers' mathematical theory of communication (1948).
Usage
entropy(x = NULL, normalize = FALSE)
Arguments
x |
A vector for entropy computation |
normalize |
Default is FALSE. Set |
Value
entropy value
Examples
entropy(x = c(0,0,1,1))
entropy(x = c(0,0,0,0))
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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