Here is one way to get the 'week':
> x <- as.character(seq(20080401, 20080430))
> # get the week
> cbind(x, format(as.Date(x, "%Y%m%d"), "%W"))
x
[1,] "20080401" "13"
[2,] "20080402" "13"
[3,] "20080403" "13"
[4,] "20080404" "13"
[5,] "20080405" "13"
[6,] "20080406" "13"
[7,] "20080407" "14"
[8,] "20080408" "14"
[9,] "20080409" "14"
[10,] "20080410" "14"
[11,] "20080411" "14"
On Mon, Apr 14, 2008 at 6:09 AM, Øystein Myrland
<[EMAIL PROTECTED]> wrote:
> Dear R-help group,
>
> I have a dataset with daily closing prices from a stock exchange (consecutive
> 5 trading days) from a firm trading a specific commodity. The date variable
> looks like:
>
> quote_date
> 20080411
>
> With the format; yyyymmdd.
>
> Moreover, I have another data set with a (average) weekly price of the
> underlying commodity. The date variables in this dataset are only year and a
> week number.
>
> I would like to calculate a common date number or ID based on week number
> that enables me to merge these two datasets, so that it looks like this:
>
> quote_date year week week.price
> 20080407 2008 15 27.45
> 20080408 2008 15 27.45
> 20080409 2008 15 27.45
> 20080410 2008 15 27.45
> 20080411 2008 15 27.45
>
> The weekly price is constant for the 5 trading days in the daily file. Any
> good suggestions on how to do this?
>
> All the best,
> Oystein
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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