Hi all, How can I calculate the mean from several imputed data sets with the package mice? I know you can estimate regression parameters with, for example, lm and subsequently pool those parameters to get a point estimate using functions included in mice. But if I want to calculate the mean value of a variable over my multiple imputed data sets with fit <- with(data=imp, expr=mean(y)) and pool(fit), I get the warning: Error in pool(fit) : Object has no coef() method.
Does anyone know what is happening, and is there another way of calculating means? Thanks. -- View this message in context: http://r.789695.n4.nabble.com/Calculating-mean-from-wit-mice-multiple-imputation-tp3680347p3680347.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.
