Hi Rob, Unless I've missed something you are just looking for ?save and ?load.
Best, Ista On Tue, Aug 7, 2012 at 9:20 AM, robgriffin247 <rg.rfo...@hotmail.co.uk> wrote: > Hi, > I think this is probably (& hopefully) very easy but I the ideas I have > tried don't work. > > Simply, I have 2 very large lists in my workspace which take an awfully long > time to make, each containing the information from 12500+ lmer models. > I would like to now save these lists as files (txt, csv... whatever suits > best) on to my computer/usb. > Then I would like to be able to reload them in to the workspace on another > computer (the second computer will not be able to run the script which makes > the list "m1<- > lapply(split(narrow,narrow$gene),function(x)lmer(value~sex+(1|line:sex)+(1|line),data=x))" > ) in exactly the same layout,/state/condition as they were when they were > made (exact replicas basically) so that it does not affect subsequent code > in my script . > Then I can just silence the original script line which makes the list and > just have a couple of lines which save and load each one to the same object > name as the original lists. > > So the commands I need help for should able to *save the lists *rg.lmer and > rg.lmer2 separately > And then *load the lists as lists, /not a df/,* in to another workspace > > Possibly looking towards sink() but not sure and couldn't figure out how > this works... > > Thanks in advance > Rob > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Save-reload-list-objects-tp4639397.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. ______________________________________________ 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.
