[R] Indexing time series objects

Dirk Eddelbuettel edd at debian.org
Fri Jun 28 13:46:41 CEST 2002


On Fri, Jun 28, 2002 at 10:18:42AM +0100, Luis Torgo wrote:
> > ibm <- get.hist.quote("IBM",start="2000-01-01")
[...] 
> window(ibm,start=julian(as.POSIXct("2000-01-03")),end=julian(as.POSIXct("2000-01-03")))
[...]
> In summary, my problem is to find the easiest way to convert from my 
> "natural" way of thinking on the quotes (which is date-based) into the 
> indexing schema of time series objects, which by looking at the code of 
> "get.hist.quote" is based on the conversion into the number of days (using 
> "julian") from an origin.

I don't think there is -- ts() cannot deal that well with "business-daily"
data. It is intended for monthly or quarterly data with regular increments,
or frequency.  Dealing with daily data with weekends and holidays is much
harder. Adrian's solution of converting to Julian and padding with NaN for
non-business days is probably as good as it gets. 

Dirk

-- 
Good judgement comes from experience; experience comes from bad judgement. 
							    -- Fred Brooks
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._



More information about the R-help mailing list