Hi, I have a large group of jobs, some of them are running on the same directory. All of them in batch mode. What are the best ways to protect from corrupting the results two or more jobs running on the same directory. One, I would think can be to run each job in a separate directory, collect the results and after remove the directories. But I have thousands of jobs that will run in parallel and I have placed about 100 of them in each directory. They all do the same process, but on different variables, replications etc.
Is there any other solution better than creating separate directories in R? I am thinking if there is any option in R to create a unique id which has its own unique .Rdata, although in the same directory? SAS for example to each batch job it assigns a different ID and a separate temp space, and does not mix it with another job running in parallel. Thanks, Aldi -- ______________________________________________ R-help@stat.math.ethz.ch 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.