You should read about statistical imputation and decide what approach is appropriate for your data. This mailing list is for questions about R, not about statistics. Once you know what algorithm you need to apply, look up R functions that implement that algorithm using Google or the CRAN Task Views.
If you find yourself with some example code that doesn't work the way you think it should, that would be an appropriate time to first read the Posting Guide and then come back and post a question using plain text email setting rather than html format (so we don't receive a scrambled version of your broken example code). On February 19, 2020 5:35:29 AM PST, Upananda Pani <upananda.p...@gmail.com> wrote: >Dear All, > >I want to convert irregular time series daily data in to ts objects. >For >some years I have 305 days data and some years I have 256 days. > >I need your suggestion regarding the same. > >I have read tutorial on the same but not able to find solutions. > >With regards, >Upananda > > [[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. -- Sent from my phone. Please excuse my brevity. ______________________________________________ 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.
