Hello, I am working under R2.11 Windows and currently I work on a big R progjet which executes different R script in a row. Every R script represents a module. As every module depends of the variables created in the modules previously executed, I want to be shure, that I don't create or change a variable in a scriptwithout being aware that this affects the results in a later executed script. Therefore, I was think to save all important variables to keep in a seperate "backup" environment. Everytime a script starts, it loads the variables of the "backup" environment in .GlobalEnv. At the end of the script, I want to add all new obtained variables to the "backup" environment (and check automaticaly if any variables of "backup"environment is going to be overwritten) and clean the workspace .GlobalEnv to start the next script neat and tidy. What do you think of this solution? Does anyone have better ideas or experience to share?
Thank you in advance Alexander -- View this message in context: http://r.789695.n4.nabble.com/working-with-environments-to-ensure-code-quality-for-long-R-scripts-tp4570195p4570195.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
