On 05/02/2016 11:14 AM, Jinsong Zhao wrote:
Dear there,Here is a snipped code, > rm(list = ls()) > x <- 123 > save.image("abc.RData") > rm(list = ls()) > load("abc.RData") > sample(10) [1] 3 7 4 6 10 2 5 9 8 1 > rm(list = ls()) > load("abc.RData") > sample(10) [1] 3 7 4 6 10 2 5 9 8 1 you will see that, after loading a abc.RData file that is saved by save.image(), sample(10) gives the same results. I am wondering whether it's designed purposely. And if it is, how can I get a different results of sample(10) every time after loading the saved image?
This happens because you are reloading the random number seed. You can tell R to ignore it by calling
set.seed(NULL) just after you load the image. See ?set.seed for more details. Duncan Murdoch ______________________________________________ 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.
