[R] "save scores" from sem

[marKo]

I'm not aware of any routine that those the job, although I think that 
it could be relatively easily done by multiplication the manifest 
variable vector with the estimates for the specific effect.
To make an example:

v1; v2; v3; v4 are manifest variables that loads on one y latent 
variablein a data frame called "A"
the code for the model should be like:
model <-specifymodel(
y -> v1, lam1, NA
y -> v2, lam2, NA
y -> v3, lam3, NA
y -> v4, lam4, NA

After fitting the model with sem

model.sem <- sem(model, data=A)

you should be able to compute the y variable like:
attach(data)
data$y<-v1*lam1+v2*lam2+v3*lam3+v4*lam4 #change the loading name with 
the actual loading (number) or extract them from the objectiveML object 
(they are located in model.sem[[15]])

Note that those loadings are unstandardized and that the resulting 
variable will not be standardized.

Hope it helps

Regards,

Marko



--
Marko Tončić
Assistant Researcher
University of Rijeka
Faculty of Humanities and Social Sciences
Department of Psychology
Sveučilišna Avenija 4, 51000 Rijeka, Croatia