Dear R users, I would like to work with genuine relative paths in R for obvious reasons: if I move all my scripts related to some project as a whole to another location of my computer or someone else's computer, if want my scripts to continue to run seamlessly.
What I mean by "genuine" is that it should not be necessary to hardcode one single absolute path (making the code obviously not "portable" - to another place - anymore). For the time being, I found the following related posts, unfortunately never conclusive or even somewhat off-topic: https://stackoverflow.com/questions/1815606/rscript-determine-path-of-the-executing-script https://stackoverflow.com/questions/47044068/get-the-path-of-current-script/47045368 http://r.789695.n4.nabble.com/Script-auto-detecting-its-own-path-td2719676.html So I found 2 workarounds, more or less satisfactory: 1. Either create a variable "ScriptPath" in the first lines of each of my R scripts and run a batch (or shell, etc.) to replace every single occurrence of "ScriptPath <-" by "ScriptPath <- [Absolute path of the R script]" in all the R scripts located in the folder (and possibly subfolders) of the batch file. 2. Or create an R project file with RStudio and use the package "here" to get the absolute path of the R project file and put all the R scripts related to this project in the R project directory, as often recommended. But I am really wondering why R doesn't have (please tell me if I'm wrong) this basic feature as many other languages have it (batch, shell, C, LaTeX, SAS with macro-variables, etc.)? Do you know whether the language will have this kind of function in a near future? What are the obstacles / what is the reasoning for not having it already? Do you know other workarounds? Best regards, Olivier [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
