You can create a connection to the URL and load() the connection.
Like this:
con <-
url('http://rss.acs.unt.edu/Rdoc/library/twang/data/raceprofiling.RData')
load(file=con)
close(con)
str(raceprofiling)
But the easiest way is to save the file and then load it.
Ivan
Le 12/6/2010 10:44, Rainer
On Mon, Dec 6, 2010 at 8:29 PM, zhiji19 wrote:
>
> I tried the load() already. It does not work. The erro is shown as following:
>
> Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection
> In addition: Warning message:
> In readChar(con, 5L, useBytes = TRUE) :
> cannot open com
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
On 12/06/2010 10:29 AM, zhiji19 wrote:
>
> I tried the load() already. It does not work. The erro is shown as following:
load() works - I downloaded the data and then used load() - it works.
I don't know if load() accepts an URL as a source, because
I tried the load() already. It does not work. The erro is shown as following:
Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection
In addition: Warning message:
In readChar(con, 5L, useBytes = TRUE) :
cannot open compressed file
'http://rss.acs.unt.edu/Rdoc/library/twang/dat
Try with load() instead of read.table()
read.table() is for csv, txt... files.
load() is for R files
Ivan
Le 12/6/2010 09:35, zhiji19 a écrit :
Dear All,
Can you please suggest me a correct way to load the following R data frame
from the internet and save it to the hard drive?
The following i
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