The best decompiler is a time machine. Set this up today:
# In your .Rprofile or script header
savehistory(file = paste0("script_log_", Sys.Date(), ".Rhistory"))
# Or use RStudio's auto-save + version control
Better: use RMarkdown or Quarto – they store code + narrative. Or git commit your .R scripts.
Once the files are extracted, they are often in standard formats (.png, .ogg, .lua). decompile progress .r file
If you have the legal right, here is a realistic workflow:
ls()
# See all objects: functions, data frames, lists, etc.
You must manually map Progress tokens back to 4GL syntax. This is painstaking work, but a skilled developer can reconstruct the logic flow. You essentially create a manual decompiler in your head. The best decompiler is a time machine
Who uses this? Forensic analysts and legacy system auditors with no other options.
Time estimate: 100 lines of R-code dump = 2–3 hours of manual reconstruction. Better: use RMarkdown or Quarto – they store
If your file is actually a script file written in R (usually denoted by a .R extension but sometimes mistakenly referred to or typed as .r), then:
If your goal is to decompile or reverse-engineer compiled or obfuscated R code:
If you have an R package (.rda, .RData, or similar), you might consider:
If your goal is to understand or reverse-engineer an R script (.r file), here are some steps and considerations: