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. >> >> >> > >> > >> > >> > ------------------------------------------------------------------------ >> > >> > >> > No virus found in this incoming message. >> > Checked by AVG - http://www.avg.com >> > Version: 8.0.176 / Virus Database: 270.10.5/1882 - Release Date: >> 1/8/2009 8:13 AM >> > >> >> -- >> 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 >> > > [[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.