Hi Alexander, Saving full environments is possible, but it is very easy to start loosing track on where each variable came from. You might want to use this process: http://www.r-bloggers.com/a-better-way-of-saving-and-loading-objects-in-r/ It depends on how many variables you work with, but it might help.
Another way is to do all of the work through Sweave, and combine it with caching: http://cran.r-project.org/web/packages/cacheSweave/index.html This will ensure that every code chunk will keep the variables you created, without the need to re-run the code from scratch. For extracting data from outside sources, I would often use the first method, and for analysis I would use the later option. Good luck, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Thu, Apr 19, 2012 at 11:15 AM, Alexander <juschitz_alexan...@yahoo.de>wrote: > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
