OpenMx Help

Hi,

I recently downloaded the most recent version of OpenMx. Since then I am no longer able to get the model-implied covariance matrix, and therefore, the correlation residuals. Before, the following script would get me the correlation residuals:

residuals <- cov2cor(covmatrix) - cov2cor(modelfit$objective@expCov)
round(residuals, digits=4)

My data are in "covmatrix", a symmetric covariance matrix. The result of the mxRun is stored in "modelfit")

hi all,

When mxData is a cov or cor matrix, numObs is just one number.

Quite often the cells in a covariance matrix could take advantage of different numbers of observations.

Two questions: has anyone made RAM models with an "numObs" matrix to give a per-cell n? And second, are the assumptions of a covariance-based model violated if all data do not come from complete subjects?

I previously ran analyses in OpenMx and saved the R workspace so that I could get the information at a later date.

The Error: in slot(model, name) :
no slot of name ".forcesequential" for this object of class "MxModel"

Occurs when I call
summary(mxModelFit)

On a Mac running 10.7.3, R v. 2.14.2, OpenMx v. 1.2.3-2011

However, when I use the same call (after loading the same R workspace file) on a different Mac running 10.7.3, R v. 2.14.0, OpenMx v. 1.1.2-1818, I do not get the error.

Hello.

Hello.

I read that 64-bit version of OpenMx is under development. Do you have any time frame when approximately it will be available? I am just running an analysis that take a LOT of time since 32-bit R uses only 4 GB of RAM.
Is there an advantage of installing OpenMx on a 64-bit Windows machine even though using 32-bit OpenMx?

Thank you beforehand.
Julia