Dear All, I apologize if you have already seen in Stack Overflow. I have not got any response from there so I am posting for help here.
I have data on 1318 time series. Many of these series are of unequal length. Apart from this also quite a few time points for each of the series are observed at different time points. For example consider the following four series t1 <- c(24.51, 24.67, 24.91, 24.95, 25.10, 25.35, 25.50, 25.55, 25.67) V1 <- c(-0.1710, -0.0824, -0.0419, -0.0416, -0.0216, -0.0792, -0.0656,- 0.0273, -0.0589) ser1 <- cbind(t1, V1) t2 <- c(24.5, 24.67, 24.91, 24.98, 25.14, 25.38) V2 <- c(-0.0280, -0.1980, -0.2556, 0.3131, 0.3231, 0.2264) ser2 <- cbind(t2, V2) t3 <- c(24.51, 24.67, 24.91, 24.95, 25.10, 25.35, 25.50, 25.55, 25.65, 25.88, 25.97, 25.99) V3 <- c(0.0897, -0.0533, -0.3497, -0.5684, -0.4294, -0.1109, 0.0352, 0.0550, -0.0536, 0.0185, -0.0295, -0.0324) ser3 <- cbind(t3, V3) t4 <- c(24.5, 24.67, 24.71, 24.98, 25.17) V4 <- c(-0.0280, -0.1980, -0.2556, 0.3131, 0.3231) ser4 <- cbind(t4, V4) Here t1, t2, t3, t4 are the time points and V1, V2, V3, V4 are the observations made at over those time points. The time points in the actual data are Julian dates so they look like these, just that they are much larger decimal figures like 2452450.6225. I am trying to cluster these time series using functional data approach for which I am using the "funFEM" package in R. Th examples present are for equispaced and equal length time series so I am not sure how to use the package for my data. Initially I tried by making all the time series equal in length to the time series having the highest number of observations (here equal to ser3) by adding NA's to the time series. So following this example I made ser2 as t2_n <- c(24.5, 24.67, 24.91, 24.98, 25.14, 25.38, 25.50, 25.55, 25.65, 25.88, 25.97, 25.99) V2_na <- c(V2, rep(NA, 6)) ser2_na <- cbind(t2_n, V2_na) Note that to make t2 equal to length of t3 I grabbed the last 6 time points from t3. To make V2 equal in length to V3 I added NA's. Then I created my data matrix as dat <- rbind(V1_na, V2_na, V3, V4_na). The code I used was require(funFEM) basis<- create.fourier.basis(c(min(t3), max(t3)), nbasis = 25) fdobj <- smooth.basis(c(min(t3), max(t3)) ,dat, basis)$fd Note that the range is constructed using the maximum and minumum time point of ser_3 series. res <- funFEM(fdobj, K = 2:9, model = "all", crit = "bic", init = "random") But this gives me an error Error in svd(X) : infinite or missing values in 'x'. Can anyone tell please help me on how to deal with this dataset for this package or any alternative package? Sincerly, Souradeep ______________________________________________ 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.