Can you provide a reproducible example? use dput() to send your data in a reproducible and user-friendly format. (It might not look user friendly, but trust me, it is) If x is really long, perhaps just dput(head(x, 25)) will suffice.
Just a guess as to your problem: I'm not familiar with the timeSequence function -- what package is it from? My guess is that the days it's producing are not properly aligned with the days of your time series object. Can you try it with something closer to my example? Best, Michael On Tue, May 15, 2012 at 12:42 PM, Cren <oscar.soppe...@bancaakros.it> wrote: > Thank you for your help, Michael. > > I used *aggregate(x, by = timeSequence(by = "day"), FUN = sum)* but the > results is very different from *sum(x[1:13])*, where 13 is the number of > daily observations I've sampled. > > Michael Weylandt wrote >> >> How are you using aggregate()? It seems to sum for me... >> >> z <- zoo(1:50, seq.POSIXt(from = Sys.time(), by = "30 min", length.out = >> 50)) >> >> aggregate(z, as.Date(time(z)), sum) >> >> Best, >> Michael >> >> On Tue, May 15, 2012 at 11:52 AM, Cren <oscar.soppelsa@> wrote: >>> Hello, >>> >>> I have a time series with intraday datas, sampled every 30'; I would need >>> to >>> aggregate them in this way: summing up all datas within a day. >>> >>> I tried to use *aggregate(...)* function to get my goal, but it >>> aggregates >>> in wrong way (I did not understand how so far); what I need is like >>> *sum(...)* function applied to datas within the same day. >>> >>> Thank you :) >>> >>> -- >>> View this message in context: >>> http://r.789695.n4.nabble.com/How-to-sum-and-group-data-by-DATE-in-data-frame-tp903708p4630119.html >>> Sent from the R help mailing list archive at Nabble.com. >>> >>> ______________________________________________ >>> R-help@ 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@ 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. >> > > > -- > View this message in context: > http://r.789695.n4.nabble.com/How-to-sum-and-group-data-by-DATE-in-data-frame-tp903708p4630139.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
