JuliaCall | Package JuliaCall is an R interface | Math library
kandi X-RAY | JuliaCall Summary
kandi X-RAY | JuliaCall Summary
Package JuliaCall is an R interface to Julia, which is a high-level, high-performance dynamic programming language for numerical computing, see for more information. Below is an image for Mandelbrot set. JuliaCall brings more than 100 times speedup of the calculation! See for more information.
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Trending Discussions on JuliaCall
QUESTION
Attempting to call the julia ModellingToolkit in python (using JuliaCall) and obtaining the following error when attempting to define symbolic variables.
...ANSWER
Answered 2022-Mar-28 at 21:03Seems that supertype(Num)
yields Real
and hence PyCall tries to convert it into Float64
before showing in Python.
A simple workaround would be to provide your own wrapper:
QUESTION
I know that the JuliaCall package allows to us use the Julia language in R. But I have a jl script with complex instructions and I would like to run in the R language! For example, suposse that my jl file is "myscript.jl" return a certain array A.
...ANSWER
Answered 2022-Jan-05 at 13:36It is indeed quite simple if you have Julia on path.
First create a file juliaScripts.jl
with content:
QUESTION
RStudio crashes for me whenever I try to use a different language engine like Python (anaconda or Python) or Julia. I can run library(reticulate)
and library(JuliaCall)
but when I actually start typing in a code chunk and try to execute python or julia code, the session crashes.
For Julia, I receive a first message that says,
"Error Autosaving File. RStudio was unable to autosave this file. You may need to restart RStudio."
Then I get the
"R Session Aborted"
message with the bomb and 'Start New Session' button. No code or other messaging is provided in RStudio.
I've uninstalled and reinstalled R, Python and Julia multiple times with no resolution.
When I try to use pure R and Julia, for example, below is the output (no messages for Python unfortunately). I am more interested in getting Python up and running in RStudio.
...ANSWER
Answered 2021-Nov-10 at 13:57I had the same problem (using library(reticulate)
), with the same versions of R, RStudio and MacOS as you reported. My problem was solved by installing the previous version of RStudio, i.e., Version 1.4.1717.
Running my code in an R console or the IDE bundled with R also worked.
QUESTION
I am trying to write a Julia function (weighted_sum
in this example) and use it in R.
The function works well in Julia (first code block below), but fails to work with NA
s when called from R using the JuliaCall
package (second block of code below).
Is there a way around this problem? E.g. Could I modify the Array type somehow in the R version of the function (within JuliaCall::julia_eval()
) so that it accepts R's NAs?
Julia code:
...ANSWER
Answered 2021-Sep-05 at 20:25According to this, the missing
in julia
is kind of a generalization of the missing values in other languages. It is not clear why the NA
from R
is having a problem. Tried changing to NaN
as input and it works by using isnan
QUESTION
I'm using the JuliaCall library to use Julia code in R. I'm trying to increase the number of threads but I can't seem to succeed. I'm using Windows 10 and RStudio version 1.4.1103
Thank you so much!
...ANSWER
Answered 2021-Mar-27 at 10:24Simply run
QUESTION
I am trying to see how is the performance of Julia compared with that of R for a simple function that computes the Pi value:
...ANSWER
Answered 2021-Feb-16 at 10:52Basically the syntax of Julia is somewhat similar to Matlab and Python but very different from GnuR
The equivalent of rep
is fill
:
QUESTION
I am trying to run a Julia chunk in RMarkdown. I am using the package JuliaCall
. Here are the steps I've completed:
- Downloaded Julia
- Installed
JuliaCall
- Run the code
julia_setup(JULIA_HOME = "C:/Users/James/Documents/Julia 1.5.1/bin")
- Run
julia <- julia_setup()
Here is a minimal example of my RMarkdown file:
...ANSWER
Answered 2020-Sep-24 at 05:39Rmarkdown is only aware of any code that is run in the immediate session, to avoid creating documents that will be impossible to compile by itself.
As such you'll have to add the code to the initial code chunk
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