However, JRI version 0.3 introduces higher-level API which you may be familiar with from the JRclient of Rserve. This implies that at least some knowledge of R internals is required. JRI version 0.2 and earlier provide low-level API only, which is comparable to the C API that R provides.

There actually are examples in the examples directory of JRI and they are even compiled by default so you can try them right away.ĭo I need a good knowledge of R to use JRI? Hold on, did you actually notice the README file? No? Well, please, have a look at it, too. It is recommended to use the script or its variations when starting your JRI programs.įor more enhanced launcher strategy, see JGR launcher for Windows that automatically detects the paths to R and JRE. As a part of the make process a run script run.bat is generated. You can set the same variaibles as in the unix case, because the building process is identical. Again, the configuration is fully automatic (you will need R registry entries, but those are present if you installed R using the Windows installer with default settings). It is available from CRAN, so you can use JRI comes bundled with rJava, so the best way is to simply install rJava. There are simple examples in the examples directory of the tar ball.

For documentation concerning the installation, see the following sections. Most functions are documented by JavaDoc (see and ). The best source for the latest stand-alone JRI (without rJava) is the SVN or files section. See rJava pages for latest release information.Ĭurrent release: JRI 0.5-0 - available as a part of rJava To locate JRI installed with rJava, use system.file('jri',package='rJava') in R. Important: JRI is now part of rJava, so if you simply want to use JRI, install rJava binary and your'e all set! There will be no further stand-alone JRI releases, JRI is now released only as a part of rJava. Please report any bugs or wishes related to rJava or JRI using the Bugzilla for rJava. JRI uses native code, but it supports all platforms where Sun's Java (or compatible) is available, including Windows, Mac OS X, Sun and Linux (both 32-bit and 64-bit). The JGR project makes the full use of both JRI and rJava to provide a full Java GUI for R. you can run R code inside JRI that calls back to the JVM via rJava). In a sense JRI is the inverse of rJava and both can be combined (i.e. It supports both simple calls to R functions and a full running REPL. Basically it loads R dynamic library into Java and provides a Java API to R functionality. JRI is a Java/R Interface, which allows to run R inside Java applications as a single thread.

Java to r