Rick,

I have been trying to sell CDC on the merits of the SAS/R interface.

I have found that it work as you have described in your blogs.

However I have found a 'Gotcha'.

The problem is that the memory allocated to Web base R studio environment usually exceeds what is available to a desktop SAS/R interface.

As a result, it can appear that the Web based R studio can read a bigger file and processing faster than a SAS/R setup.

Can you describe to me what you have to do to increase the memory and other resources so in SAS 9.4 so a SAS/R program can approach the performance of a Web Based R Studio program.

This would also apply to a Server/Web based SAS.

Thanks,

Paul C. McMurray
Analytic Tools and Methods Branch
Division of Epidemiology, Analysis, and Library Services
Center for Surveillance, Epidemiology, and Laboratory Services
Centers for Disease Control and Prevention
MS E-33