Description Details Author(s) References See Also Examples
RJulia (R package name rjulia) provides an interface between R and Julia by converting R and Julia objects mutually, and running Julia scripts from R.
R is a sophisticated feature-rich statistical software but a bit slow, julia is new advanced computing language which is fast and LLVM-based JIT. So, combining R and julia will allow us to do better statistical computing.
Package: | rjulia |
Type: | Package |
Version: | 1.0 |
License: | GPL 2 |
TODO: An overview of how to use the package, including the most important functions.
Yu Gong armgong@yahoo.com
Online Julia Documentation, at http://docs.julialang.org.
j2r
, r2j
; further
julia_init
, julia_eval
,
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | (cc <- j2r( "cos(pi * (0 : 0.5 : 4))"))
all.equal(cc, cos(pi * seq(0,4, by=0.5))) # TRUE indeed
j2r("float(1//2 + 2//3)") # Julia knows rationals numbers, i.e., ratios of integers
## Julia has builtin "Bigfloat" data type with 256 bits precision:
(pi. <- j2r("string(big(pi))"))
## if you really have problems getting R to call Julia, try ...
if(is(T1 <- tryCatch(julia_init(), error=function(e)e), "error")) {
## try harder
juliaDIR <- dirname(system("which julia", intern=TRUE))
message("Trying Julia directory ", juliaDIR)
if(is(T2 <- tryCatch(julia_init(juliaDIR), error=function(e)e), "error")) {
## TODO: show error messages of T1 and T2
warning("Did not succeed to initialize Rjulia with correct julia directory yet")
}
else {
message(" Success !!")
julia_eval("1+1")
## julia_eval("2^20")
}
}
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