xwalk_entropy: Calculates the Shannon entropy for a Crosswalk
In danielruss/socR: Useful functions for working with occupation coding
xwalk_entropy R Documentation
Calculates the Shannon entropy for a Crosswalk
Description
The more potential codes that a crosswalk will allow an intial code to become, the higher
the entropy. The entropy (S) is given by
S = -\Sigma \Sigma p log p
where p = 1/n and n is the number of potential codes.
a single code can map to, natural logs are used in the calculation. The inner summation
can be is the sum of n iteration of 1/n, so the equation can be simplified
to
S = -\Sigma log p
Usage
xwalk_entropy(x)
Arguments
x
The crosswalk
Value
the entropy
danielruss/socR documentation built on Dec. 9, 2024, 7:32 p.m.
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| xwalk_entropy | R Documentation |
Calculates the Shannon entropy for a Crosswalk
Description
The more potential codes that a crosswalk will allow an intial code to become, the higher the entropy. The entropy (S) is given by
S = -\Sigma \Sigma p log p
where p = 1/n and n is the number of potential codes. a single code can map to, natural logs are used in the calculation. The inner summation can be is the sum of n iteration of 1/n, so the equation can be simplified to
S = -\Sigma log p
Usage
xwalk_entropy(x)
Arguments
x |
The crosswalk |
Value
the entropy
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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