You haven't told us your OS. But assuming Windows, why not use
read.delim("clipboard")
or
read.DIF("clipboard")
?
On Tue, 8 Mar 2011, Thaler, Thorn, LAUSANNE, Applied Mathematics wrote:
Hi everybody,
I find myself quite often in the situation that I want to copy data from
Excel to R on the fly. If the source consists only of a single column, I
usually do something like
<copy column in Excel>
x <- as.numeric(readClipboard())
If I have a matrix, I usually export this matrix to a csv file first.
This approach works fine. However, sometimes I want to do some quick
checks and for these cases I don't like the file approach, as I do not
want to clutter up my working directory with temporary files.
If you copy a matrix to the clipboard, you get a text file, separated by
tabs (at least in my locale here). So I wrote this wrapper in order to
alleviate copying btw Excel and R. Since I want to rely on the nifty R
ability to transform text columns to factors while leaving numerical
columns as they are, I first of all write the data to a file connection,
from where I read using read.table.
readClipboardDf <- function(token = "\t", ...) {
text <- readClipboard()
mat <- t(as.matrix(do.call(rbind, strsplit(text, token))))
fh <- file()
write(mat, fh, nrow(mat))
mat <- read.table(fh, ...)
close(fh)
mat
}
However, this approach uses a file connection as well, so it does not
really change things (besides that it does things in one single step),
so any comments appreciated of how I could do this Excel to R thing
quickly preferably without any file transactions.
Thanks for your help.
BR Thorn
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--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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