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Error in Slot

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pgseye's picture
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Joined: 10/13/2009 - 23:50
Error in Slot

Hi,

Some scripts which I'm sure have run without problems a couple of months ago are now giving me the following error:

> equateAEModelFit Running equateAE
Error in slot(model, name) :
no slot of name ".newobjects" for this object of class "MxModel"

Any ideas what's happening?

Thanks,

Paul

mspiegel's picture
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Joined: 07/31/2009 - 15:24
This solution should work:

This solution should work: http://openmx.psyc.virginia.edu/thread/774

pgseye's picture
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Joined: 10/13/2009 - 23:50
Thanks Michael, But I don't

Thanks Michael,
But I don't follow this - sorry.
When I try to substitute using:

newModel oldSlotNames for(i in 1:length(oldSlotNames)) {
slot(newModel, oldSlotNames[[i]]) }

I get a similar error:
Error in slot(equateAEModel, oldSlotNames[[i]]) :
no slot of name ".newobjects" for this object of class "MxModel"

Can you explain what I need to?

mspiegel's picture
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Joined: 07/31/2009 - 15:24
Can you run the following and

Can you run the following and tell me what is stored in the variable 'slots'?

slotN

If you see ".newobjects", ".newobjective", and ".newtree" in the output above, then try:

slotN

And then try:

newModel for(i in 1:length(slotN)) {
slot(newModel, slotN[[i]]) }

pgseye's picture
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Joined: 10/13/2009 - 23:50
That seems to work. Thanks a

That seems to work. Thanks a lot.

> slotN > slotN
[1] "name" "matrices" "algebras" "constraints" "intervals" "latentVars"
[7] "manifestVars" "data" "submodels" "objective" "independent" "options"
[13] "output" "runstate" ".newobjects" ".newobjective" ".newtree"
> slotN > slotN
[1] "name" "matrices" "algebras" "constraints" "intervals" "latentVars" "manifestVars"
[8] "data" "submodels" "objective" "independent" "options" "output" "runstate"
> newModel > for(i in 1:length(slotN)) {
+ slot(newModel, slotN[[i]]) + }
> tableFitStatistics(multiCholACEFit, newModel)
Name ep -2LL df AIC diffLL diffdf p
Model 1 : multiCholACE 250 24309 12892 -1475 - - -
Model 2 : equateAE 172 24344.68 12982 -1619.32 35.68 90 1

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