Dear Augustin: What are the duplicated times? Looks they really do occur twice or more in your original data: perhaps two stamps less time apart than the resolution of your clock?
delme[duplicated(delme)] aur2009[[duplicated(delme),1] On 18 May 2011, at 8:49 AM, Agustin Lobo wrote: > and is it not possible to ignore savings time? My data are in UTC, > with no savings time changes >> delme = strptime(aur2009[,1], "%m/%d/%Y %H:%M",tz="UTC") >> any(duplicated(delme)) > [1] TRUE > >> delme = as.POSIXct(aur2009[,1], "%m/%d/%Y %H:%M",tz="UTC") >> any(duplicated(delme)) > [1] TRUE > > Agus > > On Wed, May 18, 2011 at 8:55 AM, Michael Sumner <mdsum...@gmail.com> wrote: >> See under "Note" in ?strptime: >> Remember that in most timezones some times do not occur and some >> occur twice because of transitions to/from summer time. >> ‘strptime’ does not validate such times (it does not assume a >> specific timezone), but conversion by ‘as.POSIXct’) will do so. >> >> >> >> On Wed, May 18, 2011 at 3:53 PM, Agustin Lobo <agustin.l...@ictja.csic.es> >> wrote: >>> >>> I have a problem with duplicated date_time stamps that I do not see as >>> duplicated. >>> >>> I read a file with observations taken every 30 minutes: >>> >>>> >>>> aur2009=read.csv(paste(datadir,"AUR_ECPP_2009.csv",sep="/"),sep=";",stringsAsFactors=F) >>>> aur2009[1:3,1:5] >>> Date.Time E_filled E_filled_flag LE_filled LE_filled_flag >>> 1 1/1/2009 0:00 0 NaN 5.86 NaN >>> 2 1/1/2009 0:30 0 NaN 5.05 NaN >>> 3 1/1/2009 1:00 0 NaN 5.56 NaN >>> >>>> delme = strptime(aur2009[,1], "%m/%d/%Y %H:%M") >>>> aur2009[,1]=as.POSIXct(delme) >>> Date.Time E_filled E_filled_flag LE_filled LE_filled_flag >>> 1 2009-01-01 00:00:00 0 NaN 5.86 NaN >>> 2 2009-01-01 00:30:00 0 NaN 5.05 NaN >>> 3 2009-01-01 01:00:00 0 NaN 5.56 NaN >>> >>>> aur2009ts = ts(aur2009) >>>> row.names(aur2009ts) = as.character(delme) >>>> aur2009ts[1:3,1:5] >>> Date.Time E_filled E_filled_flag LE_filled >>> LE_filled_flag >>> 2009-01-01 00:00:00 1230764400 0 NaN 5.86 >>> NaN >>> 2009-01-01 00:30:00 1230766200 0 NaN 5.05 >>> NaN >>> 2009-01-01 01:00:00 1230768000 0 NaN 5.56 >>> NaN >>> >>> Then: >>>> aur2009z = zoo(aur2009[,2:12],as.POSIXct(delme)) >>> Warning message: >>> In zoo(aur2009[, 2:12], as.POSIXct(delme)) : >>> some methods for “zoo” objects do not work if the index entries in >>> ‘order.by’ are not unique >>> >>> So I investigate: >>>> any(duplicated(aur2009ts[,1])) >>> [1] TRUE >>> >>>> aur2009ts[(duplicated(aur2009ts[,1])),1:5] >>> Date.Time E_filled E_filled_flag LE_filled >>> LE_filled_flag >>> 2009-03-29 02:00:00 1238284800 0 NaN 1.2 >>> NaN >>> 2009-03-29 02:30:00 1238286600 0 NaN 1.2 >>> NaN >>> >>> But note the surprise: >>>> aur2009ts[aur2009ts[,1]==1238284800,1:5] >>> Date.Time E_filled E_filled_flag LE_filled >>> LE_filled_flag >>> 2009-03-29 01:00:00 1238284800 0 NaN -0.58 >>> NaN >>> 2009-03-29 02:00:00 1238284800 0 NaN 1.20 >>> NaN >>>> aur2009ts[aur2009ts[,1]==1238286600,1:5] >>> Date.Time E_filled E_filled_flag LE_filled >>> LE_filled_flag >>> 2009-03-29 01:30:00 1238286600 0 NaN -0.34 >>> NaN >>> 2009-03-29 02:30:00 1238286600 0 NaN 1.20 >>> NaN >>> >>> The dates detected as duplicated are actually different times that got >>> the same value in the ts version of the object! >>> What am I doing wrong? They are all observations every 30min, why are >>> these 2 encoded as the >>> same time? >>> >>> Any help appreciated >>> >>> Agus >>> >>> ______________________________________________ >>> 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. >> >> >> >> -- >> Michael Sumner >> Institute for Marine and Antarctic Studies, University of Tasmania >> Hobart, Australia >> e-mail: mdsum...@gmail.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.