Hi Erich,
I would like to share and embed the RExcel Training video (just like youtube
allows me to) . How can I do that ?

Regards,

Ajay

www.decisionstats.com


On Fri, Jan 9, 2009 at 12:20 AM, Ajay ohri <ohri2...@gmail.com> wrote:

> Hi Erich,
> I saw that it uses a remote server ( which can be the same machine ) to
> compute.
>
>
> Here is the question-
>
> What is the remote server is Amazon EC2 which has upscalaing and
> downscaling facillity for RAM and CPU...
>
> Will it work ?
>
> is there a SaaS version of this?
>
> Regards,
>
> Ajay
> On Thu, Jan 8, 2009 at 11:56 PM, Erich Neuwirth <
> erich.neuwi...@univie.ac.at> wrote:
>
>> There is RExcel (available by downloading the CRAN package
>> RExcelInstaller. It allows to transfer data between R and Excel,
>> and run R code from within Excel. So you can start with your data in
>> Excel, let R do an analysis, and transfer the results back to Excel.
>> You can write VBA macros which do this, but "hidden from exposure",
>> so the Excel user does not even notice that R is doing the hatd work.
>> It also has an Excel worksheet function RApply which allows
>> to call an R function from an Excel cell formula.
>> =RApply("rfun",A1)
>> would apply the R function rfun to the value in cell A1.
>> If the value in A1 changes, Excel will force R to recalculate the formula.
>>
>> There is a (half hour long) video demo about RExcel
>> at http://rcom.univie.ac.at/RExcelDemo/
>>
>> http://rcom.univie.ac.at/ has more information about the project.
>> For recent information, visit the Wiki on this site.
>>
>> This site also has the alpha version of an OpenOffice add-in
>> giving roughly the same functionality.
>> It is available at
>> http://rcom.univie.ac.at/download/ROOo/
>>
>>
>> The main source of information about this project is
>> the mailing list. You can subscribe also via the project server,
>> http://rcom.univie.ac.at
>>
>>
>>
>> ohri2...@gmail.com wrote:
>> > Even using the VBA back of Excel to create interfaces with R would
>> > make a lot of sense. Suppose I could have access to VBA macros that
>> > import and export data into R , it would be great.
>> >
>> > The R GUI series like Rattle come even closer to Excel...so a VBA
>> > _R_ExCel package might  be useful to ordinary folks .
>> >
>> > Besides Excel costs money, so adding R functions to Open Office would
>> > help both of them ( if not attempted already)
>> >
>> > Regards,
>> >
>> > Ajay
>> >
>> > www.decisionstats.com
>> >
>> > On 1/8/09, Stavros Macrakis <macra...@alum.mit.edu> wrote:
>> >>> "Some people familiar with R describe it as a supercharged version of
>> >>> Microsoft's Excel spreadsheet software..."
>> >>>
>> >> It is easy to ridicule this line from the NYT article.  But this is not
>> only
>> >> a very sensible comment by a smart reporter, but also one that is good
>> for
>> >> R:
>> >>
>> >> It is good for R because it explains the new (R) in terms of the
>> familiar
>> >> (Excel).  Of course R can do far more than Excel ever could, but most
>> >> readers will not be familiar with boxplots, let alone studentized
>> bootstrap
>> >> confidence intervals, yet R is useful even for elementary analyses.
>> >>
>> >> It is good for R because it will bring us new users.  I have often
>> looked
>> >> over the shoulders of Excel users struggling to do analyses or
>> construct
>> >> graphics that are just slightly beyond what Excel makes easy. Perhaps
>> the
>> >> dataset is too large, or the analysis doesn't fit into the spreadsheet
>> >> model, or the analysis isn't built-in (and so requires either many
>> manual
>> >> steps, or Visual Basic programming, or an expensive add-on package), or
>> it
>> >> requires data sources that Excel doesn't handle well, or it has gotten
>> so
>> >> complicated that it is unmaintainable in spreadsheet form.  R scales
>> better
>> >> in every way: in size of problem, in complexity of analysis, in data
>> >> sources.
>> >>
>> >> It is good for R because it makes it sound unthreatening and easy, both
>> for
>> >> the person who might consider using R rather than Excel, and for
>> his/her
>> >> management.  Of course, R is not trivial to learn, but you don't have
>> to
>> >> master everything about it to get useful results (just like Excel, I
>> might
>> >> add).
>> >>
>> >> It is good for R because it reminds us that there are other useful
>> computing
>> >> paradigms that we can learn from. The spreadsheet model, including
>> instant
>> >> update, is compelling for a wide range of problems.  I have not used
>> any of
>> >> the R/Excel interface packages, but presumably they combine the
>> advantages
>> >> of the approaches. Perhaps there is room for not just integrating R
>> with
>> >> Excel, but for incorporating the core ideas of Excel into R in some
>> >> intelligent way.
>> >>
>> >> It is good for R because it shows areas where R can be improved.  Excel
>> >> makes it very easy to present tabular data and format it.  It makes it
>> very
>> >> easy to work with summary/contingency tables (pivot tables)
>> interactively
>> >> and only a little more difficult to do drill-down.  In all cases, its
>> >> functionality is limited, but what it can do, it does well.
>> >>
>> >> It is good for R because it reminds us that there are many people using
>> >> other tools who could benefit from outreach from the R community, both
>> >> through tools (smoother interoperability) and through education.
>> >>
>> >> All in all, characterizing R as a supercharged version of Excel makes a
>> lot
>> >> of sense.
>> >>
>> >>          -s
>> >>
>> >>      [[alternative HTML version deleted]]
>> >>
>> >> ______________________________________________
>> >> 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.
>> >>
>> >
>> >
>> >
>> > ------------------------------------------------------------------------
>> >
>> >
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>> >
>>
>> --
>> Erich Neuwirth, University of Vienna
>> Faculty of Computer Science
>> Computer Supported Didactics Working Group
>> Visit our SunSITE at http://sunsite.univie.ac.at
>> Phone: +43-1-4277-39464 Fax: +43-1-4277-39459
>>
>
>

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