[R-SIG-Finance] (no subject)
Josh Ulrich
josh.m.ulrich at gmail.com
Fri Dec 5 16:29:05 CET 2008
Hi Soeren,
It appears the function you used to read your data into R expected the
file to contain a header row. You should use the equivalent of
read.csv(file, header=FALSE).
as.xts() works on data.frames that have rownames. The default is to
convert the rownames to POSIXct.
I recommend you try:
datas <- xts(data[,-1],as.POSIXct(data[,1]))
Best,
Josh
--
http://quantemplation.blogspot.com
On Fri, Dec 5, 2008 at 7:50 AM, <sprohl at na.uni-tuebingen.de> wrote:
> Hello Brian,
> please find attached sample of the data
> data[1:5,]
> X2002.07.01 X0.0071
> 1 2002-07-02 0.0072
> 2 2002-07-03 0.0072
> 3 2002-07-04 0.0073
> 4 2002-07-05 0.0073
> 5 2002-07-08 0.0073
> str(data)
> 'data.frame': 1503 obs. of 2 variables:
> $ X2002.07.01: Factor w/ 1503 levels "2002-07-02","2002-07-03",..: 1 2 3
> 4 5 6 7 8 9 10 ...
> $ X0.0071 : num 0.0072 0.0072 0.0073 0.0073 0.0073 0.0073 0.0073
> 0.0073 0.0073 0.0074 ...
> datas<-as.xts(data)
> Fehler in as.POSIXlt.character(x, tz, ...) :
> character string is not in a standard unambiguous format
>
> How could I convert the data to xts?
> Thank in advance,
> Soeren
>
>
>
>
>
> Please attach a short sample of your data file that replicates your error.
>>
>> sprohl at na.uni-tuebingen.de wrote:
>>> Dear All,
>>> I have some problems with downloading and matching daily data
>>> of irregular frequency. I tried to apply zoo-codes to read file
>>>
>>> data<-read.zoo("C://data.txt",sep="",format="%Y %b %d")
>>> and get the following message:
>>>
>>> Fehler in scan(file, what, nmax, sep, dec, quote, skip, nlines,
>>> na.strings, : Zeile 31 hatte keine 2 Elemente
>>>
>>> The data has missing values. How could I properly download them as
>>> time series and match different datasets by "Date". Unfrtunately,
>>> conventional procedures do not work properly.
>>> Thanks in advance,
>>> Soeren
>>
>>
>> --
>> Brian G. Peterson
>> http://braverock.com/brian/
>> Ph: 773-459-4973
>> IM: bgpbraverock
>>
>
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