Thanks for the answer, and sorry if I was not clear. So I run the data imputation using mice with 10 chains and then I get a mids-object. From that object I can then extract 10 data sets using the complete(imp, n) command (with n=c(1:10)).
Now I can type this out 10 times: set1 <- complete(imp, 1) set2 <- complete(imp, 2) etc. Each of these set1 to set10 will be a data frame. That all is easy enough, but I would like to do this in a loop and create the same 10 data sets. If I use the command proposed by you, then the loop works but again the 10 data sets are stored in only one single object (a list) when I would like to create 10 separate data sets. Is that enough information? Thanks again, Florian -- View this message in context: http://r.789695.n4.nabble.com/Loop-tp4409865p4410333.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.
