Description Usage Arguments Details Author(s) Examples
This function measures the variation of the total redundancy.
1 | diffInstructions(training.set, HX, HXmax, Herror, Redundancia_corregida)
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training.set |
A set of aligned nucleotide sequences |
HX |
Entropy |
HXmax |
Maximum entropy |
Herror |
Entropy error. Correction of the Finite Sample Size Effect |
Redundancia_corregida |
Redundancy correction of the Finite Sample Size Effect |
This function depends on detector_1erOrdre_diff
Joan Maynou <joan.maynouatupc.edu>
1 2 3 4 5 6 7 8 9 10 11 12 | require("MEET")
data(iicc)
data(BackgroundOrganism)
q<-iicc$q
training.set<-iicc$Transcriptionfactor
correction<-correction.entropy(q,p=nrow(training.set),long=1,iicc)
Herror<-slot(correction,"Herror")
HXmax<-iicc$HXmax
prob<-probability(training.set,Prob)
HX<-entropy.Shannon(prob)
Redundancia_corregida<-CalculRedundancy(training.set,q,iicc)
test<-diffInstructions (training.set,HX,HXmax,Herror,Redundancia_corregida)
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