JuliaFunction-class: Proxy Objects in R for Julia Functions
In XRJulia: Structured Interface to Julia

Description Usage Arguments Details Slots Examples

A class and generator function for proxies in R for Julia functions.

JuliaFunction(...)

## S4 method for signature 'JuliaFunction'
initialize(name, module = "", evaluator =
RJulia(, ...))

`name, module`	The name and module of the Julia function.
`evaluator`	The evaluator object to use. By default, and usually, the current evaluator is used, and one is started if none has been.
`...`	For `RJulia`, the arguments as interpreted by the initialize method, so typically `name` and optionally `module`. Remaining arguments are passed along to the next method.

An object from this class is an R function that is a proxy for a function in Julia. Calls to the R function evaluate a call to the Julia function. The arguments in the call are converted to equivalent Julia objects; these typically include proxy objects for results previously computed through the XRJulia interface.

name: the name of the server language function
module: the name of the module, if that needs to be imported
evaluatorClass: the class for the evaluator, by default and usually, JuliaInterface

  if(findJulia(test = TRUE) ) {
    ## even so, the Julia may not be valid
    ## so we catch any errors in the example, mainly to keep CRAN quiet
    tryCatch( {set.seed(228)
      x <- matrix(rnorm(1000),20,5)
      xm <- juliaSend(x)
      juliaCommand("using LinearAlgebra")
      svdJ <- JuliaFunction("svd")
      sxm <- svdJ(xm)
      sxm
    }, error = function(e) message("Julia Example error: " ,e$message))}