Revolution Analytics has of course had RevoDeployR, and in a webinar strive to bring it back to center spotlight.
BI is a good lucrative market, and visualization is a strength in R, so it is matter of time before we have more R based BI solutions. I really liked the two slides below for explaining RevoDeployR better to newbies like me (and many others!)
Integrating R into 3rd party and Web applications using RevoDeployR
Please click here to download the PDF.
Here are some additional links that may be of interest to you:
- RevoDeployR web page: http://www.revolutionanalytics.com/products/enterprise-deployment.php
- RevoDeployR data sheet: http://www.revolutionanalytics.com/products/pdf/RevoDeployR.pdf
- RevoDeployR whitepaper: http://www.revolutionanalytics.com/why-revolution-r/whitepapers/DeployR_White_Paper.pdf
( I still think someone should make a commercial version of Jeroen Oom’s web interfaces and Jeff Horner’s web infrastructure (see below) for making customized Business Intelligence (BI) /Data Visualization solutions , UCLA and Vanderbilt are not exactly Stanford when it comes to deploying great academic solutions in the startup-tech world). I kind of think Google or someone at Revolution should atleast dekko OpenCPU as a credible cloud solution in R.
I still cant figure out whether Revolution Analytics has a cloud computing strategy and Google seems to be working mysteriously as usual in broadening access to the Google Compute Cloud to the rest of R Community.
Open CPU provides a free and open platform for statistical computing in the cloud. It is meant as an open, social analysis environment where people can share and run R functions and objects. For more details, visit the websit: www.opencpu.org
and esp see
https://public.opencpu.org/userapps/opencpu/opencpu.demo/runcode/
Jeff Horner’s
Jerooen Oom’s
-
/webapps
- /stockplot
- /lme4
- /ggplot2
- /puberty plot
- /IRT tool