Hi Lorenzo, Maybe: tt<-tt[!is.nan(tt)]
Jim On Fri, May 27, 2016 at 8:14 PM, Lorenzo Isella <lorenzo.ise...@gmail.com> wrote: > Dear All, > I am sure the answer is a one liner, but I am banging my head against > the wall and googling here and there has not helped much. > Consider the following time series > > tt<-structure(c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, > NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 1133.09, 1155.77, 1179.12, > 1182.85, 1133.43, 1103.36, 1081.19, 1058.55, 1056.95, 1059.13, > 1018.18, 920.62, 865.99, 856.29, 841.58, 857.7, 852.71, 890.76 > ), .Tsp = c(1980, 2015, 1), class = "ts") > > > where the NaN do *not* occur internally. How can I automatically get > rid of them and adjust the start and end year of the time series > accordingly? > Many thanks > > Lorenzo > > ______________________________________________ > 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. ______________________________________________ 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.
