R Execute Prerequisites

The R Execute operator was tested on 64-bit CentOS Linux with open-source R version 3.6.

The R Connector for TIBCO® Data Science Team Studio might work with newer versions of open-source R, but has been tested only with the specified versions.

Note: You can configure the R Connector to use TIBCO® Enterprise Runtime for R (TERR™). For detailed instructions, see the article on the TIBCO Community site. Using TERR with Team Studio is currently untested and unsuppported.

The R Connector for Team Studio should work with any open-source R server that is fully compatible with open-source R.

Note: Team Studio can be extended for use with the R language and environment for statistical computing and graphics (see https://www.r-project.org/) through use of the R Connector for Team Studio, which is subject to free open source software license terms and available for download from a publicly available Github repository. The R Connector is not part of the Team Studio product and therefore not within the scope of your license for the product. Accordingly, the R Connector is not covered by the terms of your agreement with TIBCO for the Team Studio product, including any terms concerning support, maintenance, or warranties. Download and use of the R Connector is solely at your own discretion and subject to the free open source license terms applicable to the R Connector.
Requirement Description
Hardware Requirements The R Connector for Team Studio requires a CentOS or RedHat operating system running on a 50GB server.
Note: Windows servers are not supported. For details, see http://rforge.net/Rserve/rserve-win.html

The Team Studio Web Server does not run on the same computer as the R Connector for Team Studio. Please see below for details.

Supported Java Versions The R Connector for Team Studio requires Oracle 64-bit Java 1.8 or higher to be installed.
Note: The JRE is adequate, the JDK is not required.

In addition to system requirements, R Execute has R package requirements. See the following for more information about packages, and installing the R Connector.