ttrikalin / rmath

The R Standalone Math Library with modern CMake support

Rmath - The R Standalone Math Library

The repository contains the R standalone Math Library, built to be used with the Statslabs.Stats C++ library.

Installation on Ubuntu / macOS

1. Clone the repository.

   git clone [email protected]:statslabs/rmath.git

2. Configure the project.

   cd rmath
   mkdir build && cd build
   cmake ..

3. Compile and install the library.

   make
   make install

Example program

demo.c:

#include <stdio.h>
#include "Rmath.h"

int main() {
  double shape1, shape2, prob;

  printf("Enter first shape parameter: ");
  scanf("%lf",&shape1);

  printf("Enter second shape parameter: ");
  scanf("%lf",&shape2);

  printf("Enter probability level: ");
  scanf("%lf",&prob);

  printf("Critical value is %lf\n",qbeta(prob,shape1,shape2,1,0));

  return 0;
}

Integration of Rmath in your own project

To make the project simple enough, we will create a CMake project for demo.c.

1. Make a project folder.

   mkdir example && cd example

2. Create demo.cc and CMakeLists.txt in the project folder where file CMakeLists.txt should look like:

   cmake_minimum_required(VERSION 3.0)
   project(example)
   add_executable(example demo.c)
   
   find_package(Rmath 1.0.0 REQUIRED)
   target_link_libraries(example Rmath::Rmath)

3. Perform a out-of-source build.

   mkdir build && cd build
   cmake ..
   make

4. Run the program.

   ./example

   A quick check on whether the program works:

   Enter first shape parameter: 1.5
   Enter second shape parameter: 0.3
   Enter probability level: .10
   Critical value is 0.478398
   

   This corresponds to the following call in R:

   > qbeta(.10,1.5,.3)
   [1] 0.4783981