The most "usable" form is to convert it to POSIXct since most of the
plotting routines know how to handle date/time. You could do:
myDate <- as.POSIXct(paste(WD$date, WD$time), format='%m.%d.%Y %H:%M:%S')
e.g.,
> as.POSIXct('07.07.2010 12:34:15', format='%m.%d.%Y %H:%M:%S')
[1] "2010-07-07 12:34:15 EDT"
On Mon, Jul 26, 2010 at 9:07 AM, Olivier Coupiac
<olivier.coup...@renerco.com> wrote:
> Hi everybody,
>
> I have a 4*4 matrix WD of wind data of the following form:
>
>> WD
> $date
> [1] "07.07.2010" "07.07.2010" "07.07.2010" "07.07.2010"
>
> $time
> [1] "00:00:00" "00:10:00" "00:20:00" "00:30:00"
>
> $CH1Avg
> [1] 3.02 3.04 2.94 2.71
>
> I would like to transform the date and time strings in usable numbers for
> plotting :
>
> - Transform "07.07.2010" in 07*24 + 07*31*24 for example
>
> - Transform the string of type "12:15:20" in a number equals to
> 12+15/60+20/3600
>
> I would hence need a function able to look for defined patterns in a list,
> like aa:bb:cc and evaluate aa+bb/60+cc/3600.
>
> Anyone has a idea?
>
> Thanks a lot!
> Cheers
>
> Olivier Coupiac
>
> [[alternative HTML version deleted]]
>
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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