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How to Install and Use Experimental Plugin Ext Reb Tool V 1 03 for R


How to Install and Use Experimental Plugin Ext Reb Tool V 1 03 for R




Experimental Plugin Ext Reb Tool V 1 03 is a package that provides a set of tools for extending R with C/C++ code. It allows you to compile, link, and load C/C++ code directly from R, without the need for external tools or configuration files. It also supports debugging and profiling of C/C++ code from R.


In this article, we will show you how to install and use Experimental Plugin Ext Reb Tool V 1 03 for R on Windows, Linux, and Mac OS X. We will also demonstrate some of the features and benefits of using this package for developing and testing C/C++ extensions for R.


experimental plugin ext reb tool v 1 03



How to Install Experimental Plugin Ext Reb Tool V 1 03 for R




Experimental Plugin Ext Reb Tool V 1 03 for R is available on NPM[^1^] [^2^], a package manager for JavaScript and Node.js. You can install it using the following command:


npm install experimental_plugin_ext_reb_tool_v_1_03


This will download and install the latest version of the package in your current working directory. You can also specify a different version or location by adding a suffix or prefix to the package name, such as:


npm install experimental_plugin_ext_reb_tool_v_1_03@1.0.0


npm install ./experimental_plugin_ext_reb_tool_v_1_03


After installing the package, you can load it in R using the library function:


library(experimental_plugin_ext_reb_tool_v_1_03)


This will load the package and its dependencies, such as Rcpp and RInside, which are required for interfacing with C/C++ code from R.


How to Use Experimental Plugin Ext Reb Tool V 1 03 for R




Experimental Plugin Ext Reb Tool V 1 03 for R provides several functions for compiling, linking, loading, debugging, and profiling C/C++ code from R. Here are some of the main functions and their usage:


  • reb.compile: This function compiles a C/C++ source file into an object file. It takes the name of the source file as an argument and returns the name of the object file. For example:



reb.compile("hello.c")


  • reb.link: This function links one or more object files into a shared library. It takes a vector of object file names as an argument and returns the name of the shared library. For example:



reb.link(c("hello.o", "world.o"))


  • reb.load: This function loads a shared library into R. It takes the name of the shared library as an argument and returns a list of exported symbols. For example:



reb.load("hello.so")


  • reb.debug: This function launches a debugger for a shared library. It takes the name of the shared library as an argument and opens a new window with gdb or lldb, depending on your system. For example:



reb.debug("hello.so")


  • reb.profile: This function launches a profiler for a shared library. It takes the name of the shared library as an argument and opens a new window with gprof or valgrind, depending on your system. For example:



reb.profile("hello.so")


The Benefits of Using Experimental Plugin Ext Reb Tool V 1 03 for R




Using Experimental Plugin Ext Reb Tool V 1 03 for R has several benefits for developing and testing C/C++ extensions for R, such as:


  • It simplifies the process of compiling, linking, and loading C/C++ code from R, without requiring any external tools or configuration files.



It allows you to write C/C++ 0efd9a6b88


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