An alternative, platform-independent approach to this issue is to use a
library such as XLRD to parse an Excel binary file directly and then write
this data to a delimited text file for subsequent import into R. This has
the advantage of not requiring (a) Excel or (b) Windows. You'd need to know
a bit of Python, or check out whether your scripting language of choice has
a similar library, many do.



On Thu, Sep 10, 2009 at 1:21 PM, Gabor Grothendieck <ggrothendieck@gmail.com
> wrote:

> See:
> http://wiki.r-project.org/rwiki/doku.php?id=tips:data-io:ms_windows
>
> On Wed, Sep 9, 2009 at 8:17 AM, Josh C. Chien <joshcchien@yahoo.com>
> wrote:
> > Hi R-all,
> > In finance, EXCEL dominates over any products. It's a good interface with
> finance application.
> > I like R but, sometimes, I can't use it for daily work.
> > Just curious, does any guy know how to integrate EXCEL and R for working
> financial modeling ?
> >
> > Thanks a lot.
> >
> > Josh
> >        [[alternative HTML version deleted]]
> >
> > _______________________________________________
> > R-SIG-Finance@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> > -- Subscriber-posting only.
> > -- If you want to post, subscribe first.
> >
>
> _______________________________________________
> R-SIG-Finance@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> -- Subscriber-posting only.
> -- If you want to post, subscribe first.
>

	[[alternative HTML version deleted]]

