[R] How to import timestamps from emails into R

[Gabor Grothendieck]

Try this:

plot(seq_along(tt), tt)


On Sat, Jun 20, 2009 at 10:55 AM, Thomas Levine<thomas.levine at 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
> <ggrothendieck at 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.levine at 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 at 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.
>> >
>
>