All fixed and solved in R-SIG-Finance.
Thanks,
Peter
On Thu, Mar 10, 2016 at 3:25 PM, Sarah Goslee <sarah.gos...@gmail.com>
wrote:
> Hi Peter,
>
> We really need a reproducible example to solve this kind of question.
> Please use dput(head(yourdata)) to provide a sample of data (or make
> up fake data that shows the same problems), and provide the code
> you're using.
>
> Sarah
>
> On Thu, Mar 10, 2016 at 6:14 AM, Peter Neumaier
> <peter.neuma...@gmail.com> wrote:
> > Hi all, sorry for double/cross posting, I have sent an initial, similar
> > question
> > accidentally to r-sig-finance.
> >
> > I am writing a matrix (typeof = double) into a CSV file with write.csv.
> >
> > My first column of the matrix is a date in the form yyyy-mm-dd hh:mm:ss:
> >
> >> a_fetchdata[1,0]
> >
> > 2016-02-09 07:30:00
> >> typeof(a_fetchdata[1,0])
> > [1] "double"
> >
> > My CSV file contains a sequence of integers (from 1 to x) instead of the
> > expected date.
> >
> > I tried to convert, but ran into "Error in dimnames":
> >
> >> as.character(first_fetchdata[1,0])
> > Error in dimnames(cd) <- list(as.character(index(x)), colnames(x)) :
> > 'dimnames' applied to non-array
> > Called from: as.matrix.xts(x)
> > Browse[1]> c
> >>
> >
> > a) How can I prevent the conversion into integers to happen when writing
> > into CSV?
> > b) if a) is not do-able: how can I convert the date in double format to
> > chars (i.e. with as.character) ?
> >
> > Thanks in advance,
> > Peter
> >
>
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