Something like this should work, only Sept has 30 days, not 31:
> files <- seq(as.Date('2008-09-30'), by = '1 day', length = 250)
> input <- paste(".....jsp?y="
+ , format(files, "%Y")
+ , "&m="
+ , format(files, "%m")
+ , "&d="
+ , format(files, "%d")
+ , sep = ""
+ )
>
> head(input)
[1] ".....jsp?y=2008&m=09&d=30" ".....jsp?y=2008&m=10&d=01"
[3] ".....jsp?y=2008&m=10&d=02" ".....jsp?y=2008&m=10&d=03"
[5] ".....jsp?y=2008&m=10&d=04" ".....jsp?y=2008&m=10&d=05"
>
On Mon, Dec 6, 2010 at 8:18 PM, Arsenio Staer <arsenio.st...@gmail.com> wrote:
>
> So i realized putting this
> raw.untr <- as.data.frame(read.csv(file='.......jsp?y=2008&m=09&d=30',
> header = TRUE, as.is = TRUE))
>
> reads the file prefectly, so i was wondering how can i create a set of
> dataframes each with observations for one day (say for 3 years with 250 days
> of data each year = 750 datasets) ? And in each loop of a cycle the text
> string in the url would change to reflect the new date, say from
> y=2008&m=09&d=30 to y=2008&m=09&d=31?
>
> Any help would be great, i somewhat expected more of a reaction given how
> vibrant R community is,
>
> Arsenio
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Downloading-a-csv-through-a-jsp-url-with-variable-parameters-R-code-or-package-tp3070541p3075644.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
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