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?
