Try this: plot(seq_along(tt), tt)
On Sat, Jun 20, 2009 at 10:55 AM, Thomas Levine<thomas.lev...@gmail.com> wrote: > Here's what I get >> head(tt) > [1] "2008-02-20 03:09:51 EST" "2008-02-20 12:12:57 EST" > [3] "2008-03-05 09:11:28 EST" "2008-03-05 17:59:40 EST" > [5] "2008-03-09 09:00:09 EDT" "2008-03-29 15:57:16 EDT" > > But I can't figure out how to plot this now. plot(tt) does not appear to be > univariate. I get the same plot with plot(as.Date(tt)), which would make > sense if time is used because of the range of the dates and the > insignificance of the times of day. >> head(as.Date(tt)) > [1] "2008-02-20" "2008-02-20" "2008-03-05" "2008-03-05" "2008-03-09" > [6] "2008-03-29" > > plot(tt) and plot(as.Date(tt)) give something like year as a function of the > rest of the date. Here they are > > > Here are the addresses > http://thomaslevine.org/time/tt.png > http://thomaslevine.org/time/as.Date.tt.png > > Tom > > On Fri, Jun 19, 2009 at 6:21 PM, Gabor Grothendieck > <ggrothendi...@gmail.com> wrote: >> >> Try this: >> >> >> Lines <- "Sun, 14 Jun 2009 07:33:00 -0700 >> Sun, 14 Jun 2009 08:35:10 -0700 >> Sun, 14 Jun 2009 21:26:34 -0700 >> Mon, 15 Jun 2009 19:47:47 -0700 >> Wed, 17 Jun 2009 21:50:41 -0700" >> >> # L <- readLines("myfile.txt") >> L <- readLines(textConnection(Lines)) >> tt <- as.POSIXct(L, format = "%a, %d %b %Y %H:%M:%S") >> >> >> >> On Fri, Jun 19, 2009 at 6:06 PM, Thomas Levine<thomas.lev...@gmail.com> >> wrote: >> > I am analysing occurrences of a phenomenon by time, and each of these >> > timestamps taken from email headers represents one occurrence. (The last >> > number is the time zone.) I can easily change the format. >> > >> > Sun, 14 Jun 2009 07:33:00 -0700 >> > Sun, 14 Jun 2009 08:35:10 -0700 >> > Sun, 14 Jun 2009 21:26:34 -0700 >> > Mon, 15 Jun 2009 19:47:47 -0700 >> > Wed, 17 Jun 2009 21:50:41 -0700 >> > >> > I've found documentation for a plethora of ways of importing time data, >> > but >> > I can't decide how to approach it. Any ideas on what may be the cleanest >> > way? The only special concern is that I'll want to plot these data by >> > date >> > and time, meaning that I would rather not bin all of the occurrences >> > from >> > one day. >> > >> > The time zone isn't important as these are all local times; the time >> > zone >> > only changes as a function of daylight savings time, so I probably >> > shouldn't >> > use it at all. >> > >> > Tom >> > >> > [[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.
