entropy.joint: To calculate joint entropy
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Author(s)
See Also
Examples
Description
This function calculates the joint entropy between two variables X and Y with N possible state.
Usage
1
entropy.joint(pmXY,q,iicc)
Arguments
pmXY
Joint probability
q
Renyi Order
iicc
A list of options
Details
If q is equal 1, Renyi joint entropy converges to Shannon joint entropy
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
entropy
Examples
1
2
3
4
5
6
7
require("MEET")
data(BackgroundOrganism)
data(iicc)
training.set<-iicc$Transcriptionfactor
Probtrans<-probability.couple(Prob)
pmXY<-joint.probability(training.set, Prob, Probtrans)
test<-entropy.joint(pmXY,q=iicc$q,iicc)
MEET documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Details Author(s) See Also Examples
Description
This function calculates the joint entropy between two variables X and Y with N possible state.
Usage
1 | entropy.joint(pmXY,q,iicc)
|
Arguments
pmXY |
Joint probability |
q |
Renyi Order |
iicc |
A list of options |
Details
If q is equal 1, Renyi joint entropy converges to Shannon joint entropy
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
entropy
Examples
1 2 3 4 5 6 7 | require("MEET")
data(BackgroundOrganism)
data(iicc)
training.set<-iicc$Transcriptionfactor
Probtrans<-probability.couple(Prob)
pmXY<-joint.probability(training.set, Prob, Probtrans)
test<-entropy.joint(pmXY,q=iicc$q,iicc)
|
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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