I had missed the second question. It can be handled by na.approx, see ?na.approx:
> library(zoo) > z1 <- zoo(1:14, 1:14) > z2 <- zoo(c(12:16, 19:23), c(2:6, 9:13)) > > na.approx(merge(z1, z2)) z1 z2 2 2 12 3 3 13 4 4 14 5 5 15 6 6 16 7 7 17 8 8 18 9 9 19 10 10 20 11 11 21 12 12 22 13 13 23 On Thu, Jul 3, 2008 at 9:28 AM, Gabor Grothendieck <[EMAIL PROTECTED]> wrote: > Try merge.zoo in the zoo package (see ?zoo, ?merge.zoo and the 3 zoo > vignettes): > >> library(zoo) >> z1 <- zoo(1:7, 1:7) >> z2 <- zoo(12:16, 2:6) >> >> merge(z1, z2) > z1 z2 > 1 1 NA > 2 2 12 > 3 3 13 > 4 4 14 > 5 5 15 > 6 6 16 > 7 7 NA > > Please include a subject when posting for sake of the archives. > > > On Thu, Jul 3, 2008 at 3:38 AM, Silika Prohl <[EMAIL PROTECTED]> wrote: >> Hi, >> >> I have to combine several datasets of unregular frequency:, >> >> as for example, one column contains the security prices for 7 days in a >> week >> >> while second. column contains the security prices only for 5 days in a >> week . >> >> I need >> >> (1) to find out the missing dates in second column and >> >> (2) then to linearly interpolate the missing data in the second column >> >> in order to get balanced data for both columns. >> >> Thanks in advance. >> >> >> >> >> >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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. >> > ______________________________________________ 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.
