On Fri, 16 Feb 2007, Marc Schwartz wrote:
On Fri, 2007-02-16 at 15:39 +0000, Sérgio Nunes wrote:
Just for the record, here are my steps for producing a date based histogram.
Data is stored in a file where each line only has a date - 2007/02/16
d<-readLines("filename.dat")
d<-as.Date(d, format="%Y/%m/%d")
pdf(yearly.pdf)
hist(d, "years")
dev.off()
Instead of "years" you can also use "days", "weeks", "months", "secs",
"mins", "hours".
One final question, how could I easily filter my dataset if, for
instance, I only wanted to see results from 2006 ?
Thanks to all who helped,
Sérgio Nunes
The easiest way may be to create your own "Year" extractor function,
since there does not appear to be one by default, unless I missed it
someplace (it is not listed in ?weekdays).
From that help page
Note:
Other components such as the day of the month or the year are very
easy to compute: just use 'as.POSIXlt' and extract the relevant
component.
1900+as.POSIXlt(d2)$year
[1] 2006 2004 2004
...
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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