RCall API
1. rcopy() method
The rcopy() method is used to convert the RObjects into Julia objects. We will use the R_string method inside of rcopy() so that the output the R_string returns will be converted into Julia objects. we will use the rcopy() function in the Julia prompt not in the R prompt.
Example 1:
Julia
julia> rcopy(R"c(10,20)") 2-element Vector{Float64}: 10.0 20.0 |
Output
Example 2:
Julia
R"arr <- c(1,2,3,4)" julia_arr = rcopy(R"arr") |
Output
2. @reval
The reval function is used to evaluate R codes in the Julia environment. It is visible in the function name that it stands for R-eval means evaluating R codes in Julia’s environment. It takes a string parameter that consists of some R code. Evaluates the expression and return the result in Julia object.
Julia
using RCall total = reval("sum(c(1,2,3,4,5))") |
Output
3. @rcall
The rcall function of RCall package is used to call any R functions in the current Julia environment. It requires the RCall package to be imported and used.the
Julia
using RCall res = rcall(:mean,1:5) |
Output
4. @robject
The robject function is used to convert a Julia variable or object into R object. It is useful to transfer results or anything computed in Julia’s environment into the R environment.
Julia
value = 10 typeof(value) # Returns Int64 value = robject(10) # Converting into R object # Returns RObject{IntSxp} # [1] 10 typeof(value) # Returns - RObject{IntSxp} |
Output
Int64
RObject{IntSxp}
[1] 10
RObject{IntSxp}
Julia – RCall
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.
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