search for: kdmat

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2006 Mar 31
1
mutual information for two time series
...,1]) rh<-as.vector(datin[,2]) rhemb<-embed(rh,lmax) lhc<-lh[1:length(rhemb[,1])] for (i in 1:lmax) { rhc<-rhemb[,i] kd<-bkde2D(cbind(lhc,rhc),bandwidth=c(dpik(lhc),dpik(rhc)),gridsize=c(100,10 0),truncate=T) #2d kernel density estimate in 2 dimensions) kdmat<-as.matrix(kd$fhat) for (j in 1:100){ p<-sum(kdmat[j,]) lhplogp[j]<-p*log(p) } lhplogp[is.nan(lhplogp)]<-0 hlh<- -1*sum(lhplogp) #entropy of left hemsisphere for (j in 1:1...