>>>>> "KK" == Knut Krueger <[EMAIL PROTECTED]>
>>>>> on Sat, 15 Dec 2007 08:39:02 +0100 writes:
KK> Bob Green schrieb:
>>
>> > dates <- read.csv("c:\\dates.csv",header=T)
>> > dates
>> v1 v2
>> 1 12/12/1978 12/12/2005
>> 2 23/01/1965 23/09/2001
>> 3 24/12/2004 16/03/2007
>> 4 3/03/2003 4/04/2004
>> 5 8/11/2006 1/05/2007
>>
>> > class(dates$v1)
>> [1] "factor"
>> > class(dates$v2)
>> [1] "factor"
>>
>>
KK> What about chron library:
it's a >> package << , not a library, please!
and as Henrique has shown it's really not needed for the question.
There's the "Date" (S3) class, and even a "difftime" one
for time *differences*
See
?as.Date
?difftime
and also note the output of
methods(class = "Date")
Martin
KK> dts <- dates(c("02/27/92", "02/27/92", "01/14/92",
KK> "02/28/92", "02/01/92"))
KK> dts
KK> # [1] 02/27/92 02/27/92 01/14/92 02/28/92 02/01/92
KK> tms <- times(c("23:03:20", "22:29:56", "01:03:30",
KK> "18:21:03", "16:56:26"))
KK> tms
KK> # [1] 23:03:20 22:29:56 01:03:30 18:21:03 16:56:26
KK> x <- chron(dates = dts, times = tms)
KK> x
KK> # [1] (02/27/92 23:03:19) (02/27/92 22:29:56) (01/14/92 01:03:30)
KK> # [4] (02/28/92 18:21:03) (02/01/92 16:56:26)
KK> # We can add or subtract scalars (representing days) to dates or
KK> # chron objects:
KK> c(dts[1], dts[1] + 10)
KK> # [1] 02/27/92 03/08/92
KK> dts[1] - 31
KK> # [1] 01/27/92
KK> Knut
KK> ______________________________________________
KK> R-help@r-project.org mailing list
KK> https://stat.ethz.ch/mailman/listinfo/r-help
KK> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
KK> and provide commented, minimal, self-contained, reproducible code.
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