> From: "Carlos Alzola" <calz...@cox.net> > To: <r-help@r-project.org> > Date: Tue, 8 Sep 2009 23:19:11 -0400 > Subject: [R] SAS vs. R in web application > Good evening, > > I have been asked to investigate the pros and cons of using SAS vs. R in a > web application. Either SAS or R would be the engine used to make some very > simple calculations and to produce graphs, preferably in png format. > > The advantages of R are pretty obvious as there would be no licensing issues. > The only drawback I can see is that when calling it in batch (using R CMD > BATCH), a DOS window appears. Thus I have some basic questions: > > a) Is it possible to have R operate in the background without the DOS window > appear? How? > b) Is it correct that there will be no licensing issues? > c) What would be an efficient way to run it? I am thinking of having R > running in the client's local machine and upload the results to a central > server.
I don't think you want to do this. Much better to have the R process run on the server. My advice is to use the apache2 web server on a unix-alike system, along with the RApache module (http://biostat.mc.vanderbilt.edu/rapache/). There are other ways to use R in a web page, but in my experience RApache is easier to set up/use and is more robust. My website at http://yourpsyche.org uses RAapche, and I've been very pleased with it. > > If using SAS, would the model described in c) above be the best way to design > it, or would it be better to upload the raw data to the server and have SAS > perform the calculations there. Would this option require a multi-user SAS > license? (I know, I should check with SAS Institute, but I thought I'd ask > anyway. Someone in the list may have done something similar). > No experience with SAS, but again I think you're better off uploading the data and performing calculations server-side, regardless of the program you use for the calculations. > Thanks in advance for any suggestions. > > Carlos Alzola ______________________________________________ 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.