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]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.