Randy Lai

FYI, [reticulate](https://github.com/rstudio/reticulate) converts R list to python tuple and vice versa. Do we want to follow their standard https://rstudio.github.io/reticulate/#type-conversions

how about `locate libmkl_avx2.so` and `locate libmkl_def.so`?

It seems that your system failed to locate the two shared libraries.

@bdeonovic that issue is different. The libraries are not even loaded in your case. Could you also try ``` ldd $(R RHOME)/lib/libR.so ``` and ``` R --slave -e "Sys.getenv('LD_LIBRARY_PATH')" ```

Try updating DataArrays. The new version of DataArrays has deprecated PooledDataArray.

You should use [CategoricalArrays.jl](https://github.com/JuliaData/CategoricalArrays.jl/tree/master/src) instead of PooledDataArrays.

How about running it via julia.exe?

By default, julia is installed to your AppData folder.

Did you install `xlsx` properly? Are there error messages when the package `xlsx` is loaded? For some unknown reasons, I got segfault when it was loaded ``` R> library('xlsx') signal...

May be instead of `xlsx`, you should try [openxlsx](https://cran.r-project.org/web/packages/openxlsx/index.html). It is much lightweight and it runs faster.