On Dec 13, 2012, at 8:52 AM, m p wrote:
Hello,
my series of dates look like
[1] "2012-05-30 18:30:00 UTC" "2012-05-30 19:30:00 UTC"
[3] "2012-05-30 20:30:00 UTC" "2012-05-30 21:30:00 UTC"
[5] "2012-05-30 22:30:00 UTC" "2012-05-30 23:30:00 UTC"
[7] "2012-05-31 00:30:00 UTC" "2012-05-31 01:30:00 UTC"
[9] "2012-05-31 02:30:00 UTC" "2012-05-31 00:30:00 UTC"
[11] "2012-05-31 01:30:00 UTC" "2012-05-31 02:30:00 UTC"
[13] "2012-05-31 03:30:00 UTC" "2012-05-31 04:30:00 UTC"
[15] "2012-05-31 05:30:00 UTC" "2012-05-31 06:30:00 UTC"
[17] "2012-05-31 07:30:00 UTC" "2012-05-31 08:30:00 UTC"
[19] "2012-05-31 06:30:00 UTC" "2012-05-31 07:30:00 UTC"
...
Better would have been
series <- seq(as.POSIXct("2012-05-30 18:30:00", tz= "UTC"),
length=40, by="1 hour")
I'd like to subset this to four series
Although you latter describe the problem differently, so I am
following that description. See if this split approach with modulo
arithmetic is helpful:
split(series, (0:length(series)-1) %/% 9 )
--
David.
1)
[1] "2012-05-30 18:30:00 UTC" "2012-05-30 19:30:00 UTC"
[3] "2012-05-30 20:30:00 UTC" "2012-05-30 21:30:00 UTC"
[5] "2012-05-30 22:30:00 UTC" "2012-05-30 23:30:00 UTC"
[7] "2012-05-31 00:30:00 UTC" "2012-05-31 01:30:00 UTC"
[9] "2012-05-31 02:30:00 UTC"
[10] "2012-05-31 18:30:00 UTC" "2012-05-31 19:30:00 UTC"
...
2)
"2012-05-31 00:30:00
UTC"
-> [1]
[11] "2012-05-31 01:30:00 UTC" "2012-05-31 02:30:00 UTC" -> [2,3]
[13] "2012-05-31 03:30:00 UTC" "2012-05-31 04:30:00 UTC"
[15] "2012-05-31 05:30:00 UTC" "2012-05-31 06:30:00 UTC"
[17] "2012-05-31 07:30:00 UTC" "2012-05-31 08:30:00 UTC"
[10] "2012-06-01 00:30:00 UTC"
3)
[19] "2012-05-31 06:30:00 UTC" "2012-05-31 07:30:00 UTC"
...
so that I can plot data for each of the series separately without
e.g. data
at hour "2012-05-31 02:30:00 UTC" connecting in the figure to
"2012-05-31
00:30:00 UTC"
Basically, cycling through the series with period 9
Thanks for any suggestions/help,
thanks,
Mark
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David Winsemius, MD
Alameda, CA, USA
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
