Le mercredi 22 février 2012 à 05:40 -0800, Florian Weiler a écrit : > 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. With the suggested solution, you get a list of data sets. You can access each data set separately as if it was a separate object, e.g. using set[[1]]. It's usually more practical to have all objects in a list, this allows you to run actions on all of them easily using lapply() and things like that.
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