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.
