entropy: Computes Shannon Entropy
In jasongullifer/convenience: Jason's convenience functions
Description
Usage
Arguments
Examples
Description
Note: this package is deprecated. Please use languageEntropy::entropy instead. Given a vector of discrete probabilities, this function will output the Shannon Entropy (a measure of uncertainty)
Usage
1
Arguments
x
A vector of discrete probabilities
base
Base of the logarithm. Shannon Entropy uses base 2. Other common bases are e (natural) and 10 (hartley).
Examples
1
2
prob_table <- data.frame(event=c("A","B"), prob=c(.25,.75))
entropy(prob_table$prob)
jasongullifer/convenience documentation built on May 21, 2019, 10:31 a.m.
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Description Usage Arguments Examples
Description
Note: this package is deprecated. Please use languageEntropy::entropy instead. Given a vector of discrete probabilities, this function will output the Shannon Entropy (a measure of uncertainty)
Usage
1 |
Arguments
x |
A vector of discrete probabilities |
base |
Base of the logarithm. Shannon Entropy uses base 2. Other common bases are e (natural) and 10 (hartley). |
Examples
1 2 | prob_table <- data.frame(event=c("A","B"), prob=c(.25,.75))
entropy(prob_table$prob)
|
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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