This seems to work
toPOSIX <- function(x){
y <- x - as.numeric(ISOdate(2005,1,1))
z <- ISOdate(2005,1,1) + y
return(z)
}
test <- as.numeric(ISOdate(2005,3,1) )
toPOSIX(test)
But whether one should be doing this I don't know. There are certainly
functions that play aorund with the POSIX format, I have always assumed that
I'm missing something fundamental. But I have always found it easier to write a
function like this than to find out what I should have done to keep the format
intact in the first place.
Tom
The caveat is the critical or otherwise nature of the endeavour. If it matters,
find the right answer or convince yourself that this code works.
> -----Original Message-----
> From: Paul Sorenson [mailto:[EMAIL PROTECTED]
> Sent: Monday, 31 January 2005 1:17 PM
> To: r-help@stat.math.ethz.ch
> Subject: [R] aggregating dates
>
>
> I have a frame which contains 3 columns:
>
> "date" "defectnum" "state"
>
> And I want to get the most recent state change for a given
> defect number. date is POSIXct.
>
> I have tried:
> aggregate(ev$date, by=list(ev$defectnum), max)
>
> Which appears to be working except that the dates seem to
> come back as integers (presumably the internal representation
> of POSIXct).
>
> When I execute max(ev$date) the result remains POSIXct.
>
> I have been dredging through the help among DateTimeClasses
> and haven't found a function that converts these integers to
> some kind of date class. Or a method for using aggregate
> which doesn't perform the conversion in the first place.
>
> Any clues?
>
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