"def numbers = numberList.toArray()",
"def result = [strings, numbers]",
"return (Object[]) result",
sep="\n")
result <- Evaluate (groovyScript=groovyScript)
temp <- lapply(result, .jevalArray)
On Fri, Jan 15, 2016 at 1:58 PM, Simon Ur
ually. Interestingly, the JSON encoding is using all 16 cores, so
> the 2.7s real time add up to over 20s CPU time so on smaller machines you may
> see more overhead.
>
> If you need process separation, it may be a different story - in principle it
> is faster to use more native ser
Hi Folks,
If you need to send data from Java to R you may consider using the
JDataFrame API -- which is used to convert data into JSON which then
can be converted into a data frame in R.
Here's the project page:
https://coherentlogic.com/middleware-development/jdataframe/
and here's a partial e
