See the example in plot.zoo labelled Fancy X Axis: library(zoo) example(plot.zoo) ?plot.zoo
On Wed, Jun 24, 2009 at 10:11 AM, Thomas Levine<thomas.lev...@gmail.com> wrote: > One last tiny problem: How do I add months to the scale? It currently just > has years > http://school.thomaslevine.org/mywall.png > > Thanks again > > Tom > > On Sat, Jun 20, 2009 at 12:14 PM, Thomas Levine <thomas.lev...@gmail.com> > wrote: >> >> I wasn't really thinking that far ahead; plot tries to do something, so I >> figured I'd try that as I had little other idea of what to do. >> >> The plot(tt) actually does what I want, though; the scales are just very >> messed-up. >> >> Tom >> >> On Sat, Jun 20, 2009 at 11:58 AM, Gabor Grothendieck >> <ggrothendi...@gmail.com> wrote: >>> >>> If that is the situation then plot(tt) in your post could not have been >>> what you wanted in any case, e.g. plot(10:20) >>> >>> On Sat, Jun 20, 2009 at 11:49 AM, Thomas Levine<thomas.lev...@gmail.com> >>> wrote: >>> > This produces the x-axis is the index, and the y-axis is time. It has >>> > all of >>> > the time information on the same axis, allowing me to plot cumulative >>> > occurrences by time (my original plan) if the times are sorted, which >>> > they >>> > should be. >>> > >>> > I think I'll end up using some variant of plot(tt,seq_along(tt)), >>> > putting >>> > the time axis along the bottom. >>> > >>> > Thanks >>> > >>> > Tom >>> > >>> > On Sat, Jun 20, 2009 at 11:15 AM, Gabor Grothendieck >>> > <ggrothendi...@gmail.com> wrote: >>> >> >>> >> 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.
