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

Clone the repository.

git clone git@github.com:statslabs/rmath.git

Configure the project.

cd rmath
mkdir build && cd build
cmake ..

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.

Make a project folder.
```
mkdir example && cd example
```

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)

Perform a out-of-source build.
```
mkdir build && cd build
cmake ..
make
```

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