OpenMx Structural Equation Modeling

I have a basic question about running models in OpenMx. I am interested in running a trivariate cholesky using two categorical variables (i.e., the presence or absence of a diagnosis) and one continuous variable (personality). Is this possible? If so, do i need to change my basic trivariate script (which I have tested using all continuous variables and it runs) in some way?

Thank you!

April 25, 2010

Hello to all,

Hello everybody,
I am an amateur in OpenMx. I am trying, for a start, to fit a one-factor model with OpenMx. I am willing to use the path version.
I use type=RAM, and mxData(...type="raw")

I have 1064 observations and 8 items.

Hello, I ran across your website by searching for open source SEM tools. My name is Robert Wainscott and I am an active duty naval officer and PhD student. My institution requires the purchase of PASW Grad Pack (formerly known as SPSS) with Amos 18 included for the SEM piece. I have no idea what SEM is, but I am sure I will find out in the near future. I am comfotable with R as long as I am using Rkward or RCmdr. Me and scripts/CLI are a bit shaky. The questions I pose are: as a Linux/Open Source user:

Can OpenMX be used as a substitute for Amos?

From other posts on this forum, I mostly understand why fit indexes are not calculated when using FIML. It sounds like the solution is to fit a saturated model and then use this to calculate these indexes. However, when I do this, the saturated model takes an extremely long time to run, and I am wondering (a) whether I am doing something wrong and (b) if there is any way around this.

when i run the command omxGraphvizm, can i have it load the estimates of the paths as well as the paths themselves??

Hello,

I am delighted that OpenMx is now available for SEM and I am working my way through the tutorials. However, one of my students has a slightly different two factor model setup to that shown in the tutorial and i am trying to modify the 2 factor example accordingly, but I am getting a bit stuck with the setup ...

This is from BivariateSaturated_PathCov.R in the documentation

> bivSatModel1 <- mxModel("bivSat1",
+ manifestVars= selVars,
+ mxPath(
+ from=c("X", "Y"),
+ arrows=2,
+ free=T,
+ values=1,
+ lbound=.01,
+ labels=c("varX","varY")
+ ))
Error: The model type of model 'bivSat1' does not recognize paths.

any help?
greg

Hi

I'm using openMx in a sweave file, where I show the output of a sem model. I wonder if it is possible to show only the bottom of what is printed by summary, i.e., only the coefficients table and the index, not the individual summary, whihc is pretty long?

Is this possible?

As second question: how do I see the code for summary? I'm not quite comfortable with S4 modelling, in S3 I would have done:
getAnywhere(summary.MxRAMModel)

How do I do with S4?

Thanks a lot!

Hi

Are the algorithms different in the sem package and OpenMx package for solving a sem model? Or the starting values? The question is actually whether one is expected to get the same results from the different packages? (as an aside: how can I obtain the value of the evaluated objective function? after runnnig mxRun?)

I'm asking as I tried to replicate example "Wheaton et al. alienation data " (see ?sem), I think I succeeded in having the same model but coef differ slighty or much...

run attached example and compare:
summary(Run)