vignettes/JuliaCall_in_Jupyter_R_Notebook.Rmd
JuliaCall_in_Jupyter_R_Notebook.Rmd
vignettes/Julia_in_RMarkdown.Rmd
Julia_in_RMarkdown.Rmd
system.time(zR <- mandelbrotImage(xs, ys, iterate_max))
#> user system elapsed
-#> 21.572 0.203 22.337
We could see that JuliaCall brings a lot of times speedup of the calculation, actually, we could see more speedup with larger problem scale, like 100 times speedup or even more. I won’t show the result here because I don’t want to wait minutes for this RMarkdown document to be knitted.
@@ -229,7 +229,7 @@We could see the function becomes much slower, because in the mandelbrot1
function, z
is an integer at the beginning, but becomes a complex number in the iteration. We could use @code_warntype
or code_warntype
and other tools provided by Julia to check about this problem, see https://docs.julialang.org/en/stable/manual/performance-tips/ for more information.
JuliaCall
is under active development now. Any suggestion or issue reporting is welcome! You may report it using the link: https://github.com/Non-Contradiction/JuliaCall/issues/new, or email me at lch34677@gmail.com or cxl508@psu.edu. You are welcome to use the issue template and the pull request template. The contributing guide provides some guidance for making contributions.
JuliaCall
is under active development now. Any suggestion or issue reporting is welcome! You may report it using the link: https://github.com/Non-Contradiction/JuliaCall/issues/new, or email me at lch34677@gmail.com or cxl508@psu.edu. You are welcome to use the issue template and the pull request template. The contributing guide provides some guidance for making contributions.
JuliaCall
PackageRCall.jl
is a Julia
package which embeds R
in Julia
. JuliaCall
is inspired by RCall.jl
and depends on RCall.jl
for many functionalities like type conversion between R
and Julia
.XRJulia
is an R
package based on John Chambers’ XR
package and allows for structured integration of R
with Julia
. It connects to Julia
and uses JSON to transfer data between Julia
and R
.XRJulia
is an R
package based on John Chambers’ XR
package and allows for structured integration of R
with Julia
. It connects to Julia
and uses JSON to transfer data between Julia
and R
. A simple performance comparison between XRJulia
and Julia
can be found in JuliaCall
JOSS paper.
RJulia
is an R
package which embeds Julia
in R
as well as JuliaCall
. It is not on CRAN yet, and I haven’t tested it.Please note that the JuliaCall
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Please note that the JuliaCall
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
If you use JuliaCall
in research that resulted in publications, then please cite the JuliaCall
paper using the following BibTeX entry:
@Article{JuliaCall,
+ author = {Changcheng Li},
+ title = {{JuliaCall}: an {R} package for seamless integration between {R} and {Julia}},
+ journal = {The Journal of Open Source Software},
+ publisher = {The Open Journal},
+ year = {2019},
+ volume = {4},
+ number = {35},
+ pages = {1284},
+ doi = {10.21105/joss.01284},
+ }
NEWS.md
+
+
+ rebuild
argument in the function julia_setup
. The argument controls whether to rebuild RCall.jl
, whose default value is FALSE
to save startup time. If a new version of R is used, then this parameter needs to be set to TRUE
.Julia
v0.7.JuliaCall
is now compatible with RCall
v0.11.0 on Julia
v0.7.JuliaCall
is now compatible with RCall.jl
v0.11.0 on Julia
v0.7.
Pkg.build("RCall")
.Julia
v1.0.Julia
v0.7 and v1.0.