#WINDOWS R R UPGRADE#
#WINDOWS R R REGISTRATION#
#WINDOWS R R CODE#

automatic type conversion - most R data types are converted into native data types, e.g.

binary transport - the transport protocol sends R objects as binary data, not just R text output.

fast - no initialization of R is necessary.

#WINDOWS R R UPGRADE#

This relase now restores Windows support (thanks to David Champagne from Revolution Analytics!), it allows HTTPS to WebSockets/TLS upgrade (on unix) and cleans up configuration of the various new possible server configurations. If you don't require control commands (or don't know what it is) then we strongly recommend installing the latest 1.8 version. All other features are considered stable in the 1.8 series. We are currently restricting the 1.8 series to RForge releases (i.e., CRAN still has 1.7) because some applications may rely on control commands which are currently unsupported in the 1.8 series due to a large overhaul of the communication between the master server and the sessions. Added ulog support in R, 'fork here' for spawning multiple servers and console input OOB support. Rserve 1.8-2 bugfix release (only affects WebSocket implementation)

Added support for Rserve I/O context and new WebSocket/QAP tunnel proxy with extended static content support (supportes conditional GETs and serving compressed content). Rserve 1.8-4 bugfix release (affects proxy and compute-separation mode only). Rserve 1.8-5 adds OCAP idle callback function support.

#WINDOWS R R REGISTRATION#

Rserve 1.8-6 added support for large vectors, many improvements in the proxy (IE support, automatic registration with a load-balancer), bugfixes and restored Windows support. Rserve 1.8-7 mostly proxy updates, fail visibly on errors. The default Windows build now supports TLS as well, assuming that OpenSSL is present in the toolchain. Rserve 1.8-8 adds support for SSL client certificates, see tls.client. The latest Rserve version available from RForge is Rserve_1.8-10.

If you are using Rserve, please let us know! Please send me an e-mail if your project uses Rserve! Thanks! NOTE: Rserve is perfect as a back-end for web services and is often used that way. Please cite that paper when using Rserve. The original Rserve paper is available in the DSC-2003 proceedings. It uses JNI to link R directly into Java. The RConnection doesn't have to be created more than once for subsequent commands (however, each thread must have its own connection object unless synchronized explicitly).ДЄs a side note - if you are looking just for a way to access R from Java in one application without the need for the client/server concept, you may want to have a look at JRI.

#WINDOWS R R CODE#

The following Java code illustrates the easy integration of Rserve:Дouble d = c.eval('rnorm(10)').asDoubles() Д now contains 10 random samples from the N(0,1) distribution if there is a runing Rserve on the local machine. Typical use is to integrate R backend for computation of statstical models, plots etc. Rserve supports remote connection, authentication and file transfer. Client-side implementations are available for popular languages such as C/C++, PHP, JavaScript and Java. Every connection has a separate workspace and working directory. Rserve is a TCP/IP server which allows other programs to use facilities of R (see from various languages without the need to initialize R or link against R library.

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