Achieving a seamless workflow between R, Python and SAS from within RStudio
summary
Statistics Canada must run confidential G-Confid SAS macros, so workflow requires shuttling data between SAS and R; solution options include using SASPy (requires Java and often admin rights) to call SAS from Python/R, embedding SAS chunks with SASmarkdown (no data interchange), or enabling RLANG and proc IML with ImportDataSetFromR/ExportDataSetToR to move frames back and forth. An internal R package saves a dataframe to temp files, generates a temporary SAS program, runs SAS, and returns results as an R dataframe.
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