relen: Compute Relative Entropy
In relen: Compute Relative Entropy
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function computes the relative entropy (H) as an index for qualitative variation of a factor. Any factor can be used as argument. H ist computed as follows: H = (-1/ln(k))*sum(hj*ln(hj))
Usage
1
relen(x)
Arguments
x
A factor with k levels.
Value
The output will be between 0 and one whereas 0 means minimum variation (all units are in one category).
Author(s)
Soeren Braehmer
References
Eid, M., Gollwitzer, M. & Schmitt, M. (2013). Statistik und Forschungsmethoden (3 korr.Auflage) Weinheim: Beltz. p105ff
Examples
1
2
relen documentation built on May 2, 2019, 3:04 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
This function computes the relative entropy (H) as an index for qualitative variation of a factor. Any factor can be used as argument. H ist computed as follows: H = (-1/ln(k))*sum(hj*ln(hj))
Usage
1 | relen(x)
|
Arguments
x |
A factor with k levels. |
Value
The output will be between 0 and one whereas 0 means minimum variation (all units are in one category).
Author(s)
Soeren Braehmer
References
Eid, M., Gollwitzer, M. & Schmitt, M. (2013). Statistik und Forschungsmethoden (3 korr.Auflage) Weinheim: Beltz. p105ff
Examples
1 2 |
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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