On Sun, Aug 8, 2010 at 2:01 AM, steven mosher <mosherste...@gmail.com> wrote: > In the real data the months are all complete, but the years can be missing. > So years can be missing up front, in the middle, at the end. but if a year > is present than every month has a value or NA. > To create regular R ts I had to plow through the data frame, collect a year > caluculate an index to put it into the final time series. > > I had tried zoo out and it handled the irregular spaced data, but a large > data structure of zoo objects had stumped me. espcially since I need to do > matching and selecting > of the zoo objects. > In the real data, there are about 7000 time series of 1500 months and those > 7000 > get averaged and combined in different ways
If there are missing years and you want to get a regularly spaced series out then use the zoo version of f (rather than the ts version of f) and if this is the last statement (same as before but assigning it to the variable z): z <- do.call(cbind, by(Data, Data$Index, f)) then to get a regularly spaced ts object just do this: as.ts(z) or as.zooreg(as.ts(z)) to create a regularly spaced zooreg object. ______________________________________________ R-help@r-project.org mailing list 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.
