Thanks guys, I had to change two things to get it to work: 1. As Dennis pointed out, all of the variables in the model had to be variable names in the preds data frame. 2. I had to use na.pass in the following statement to be able to merge the predicted values with the preds data frame because of all the NAs among the predicted values: preds$predicted <- predict(lmemodel, preds, na.action=na.pass)
Thanks again for your help on this! -- View this message in context: http://r.789695.n4.nabble.com/Plotting-individual-trajectories-from-individual-growth-model-tp3315494p3321683.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.
