The @rlibrary and @rimport Macros

1. @rlibrary

The @rlibrary macro lets the user import the installed R packages into the current session in the Julia prompt. RCall package must be installed and imported to use it in our code.

In the above code, we are importing the datasets package of R in our current Julia session using the rlibrary macro. Then we are using the iris dataset and the head() function of R to print the first 5 rows of the iris dataset.

Output

RObject{VecSxp}
  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa

2. @rimport

The work of @rimport is similar to as of @rlibrary, but this allows to import of specific functions rather than the entire package. Also, it allows the users to import using an alias

Example –

Output

60

To bridge the gap between the R language, which has been in the scene for a long time and is renowned for its huge collection of statistical and data analysis packages, and one of the newest members, Julia, which is a high-level programming language, the package RCall has been developed. using the RCall package, the developers can use the power and features of both languages simultaneously. use the libraries of R in Julia or vice versa. Even developers can run R code from the Julia prompt, transfer variables, etc. It allows seamless integration of R’s functionality within a Julia environment.