Plotting model implied curve

[Rogier Kievit]

Hello all - I'm wondering if there are any automated approaches to plot the model implied curves (i.e. values for each person at each wave) in a growth model? I know I can use the predict() implied slopes and factor loadings to construct them myself, but I'm teaching lavaan to emerging lavaan users, so it would be nice if there already exists a slightly less laborious (and error prone) approach.

[Rogier Kievit]

I think this should be a relatively general solution, doing some robustness checks

model_lin <- ' i =~ 1*t1 + 1*t2 + 1*t3 + 1*t4
           s =~ 0*t1 + 1*t2 + 2*t3 + 3*t4 '
fitlin <- growth(model_lin, data=Demo.growth)
summary(fitlin)

mod_loadings_lin<-fitlin@Model@GLIST$lambda
factorscores_lin<-as.matrix(predict(fitlin))
new_growthdat_pred_linear<-t(mod_loadings%*%t(factorscores_lin))

[Yves Rosseel]

I think you are looking for lavPredict(fitlin, type = "ov")

Yves.

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[Rogier Kievit]

Thank you, I thought it would already exist but hadn't yet found this function

[Terrence Jorgensen]

I think you are looking for lavPredict(fitlin, type = "ov")

Is lavPredictY() also well suited for this?

Terrence D. Jorgensen    (he, him, his)
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam
http://www.uva.nl/profile/t.d.jorgensen