I don't know if it can do it yet, but the RCall package might be able to save data back to an RData file. It's a young package.
Also, you could use CSV files. On Thu, Jan 22, 2015 at 2:09 PM, Pavel <[email protected]> wrote: > While reading R datasets in Julia received sufficient attention already, > sometimes the results of computations done in Julia need to be readable to > R. To accomplish that I was trying to save a DataFrame.jl > <https://github.com/JuliaStats/DataFrames.jl> object in HDF5 file. The > code so far is in my StackOverflow question (probably should have posted > here instead): > > http://stackoverflow.com/questions/28084403/saving-julia-dataframe-to-read-in-r-using-hdf5 > > The dataframe can then be reassembled in R using rhdf5 > <http://www.bioconductor.org/packages/release/bioc/html/rhdf5.html> package > tools. It works in principle, but is there a more elegant way to accomplish > this? Something that does not require to split the dataframe apart and > re-assemble in R, losing some column types (e.g. boolean does not work) > along the way? >
