Application of rolling window in entropy analysis
Dear all R users,
I want to apply the entropy methods in rolling window analysis. I tried
with the rollapply function, but it is not working. For your convenience, I
am providing my code so that you can easily suggest me the application of
rolling window in the particular methodology. Here is my code
N<-nrow(ts)
r<-matrix(0, nrow = N, ncol = 1)
for (i in 1:N){
r[i]<-approx_entropy(ts[,i], edim = 2, r = 0.2*sd(ts[,i]), elag = 1)
}
Kindly suggest me how to apply rolling window size of 500 in the particular
time series model?
I expect positive help from you.
Thanks in advance.
*Best Regards,* *Subhamitra Patra* *Phd. Research Scholar* *Department of Humanities and Social Sciences* *Indian Institute of Technology, Kharagpur* *INDIA* [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> 11/02/18, 2:44:12 PM [[alternative HTML version deleted]]