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Determining r2 values for a SEM

3 messages · K Stewart, Mark Difford, John Fox

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Hello, 

I have been using the SEM package and developed 4 models that all have an
adequate fit.  I require r2 values for the variables in my SEM and cannot
find a way to get r2 values for a SEM.  I have attempted using the smc
(squared multiple correlation) function, but this only takes the initial
covariance matrix and not the fitted SEM as arguements, so the r2 values
cannot be correct.  Is there a way to determine r2 values for an SEM in the
SEM package or another way to get these values in R?

Thank you for your assistance, 

Katherine Stewart

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On Nov 04, 2011 at 6:55pm Katherine Stewart wrote:

            
Katherine,

rsquare.sem() in package sem.additions will do it for you.

Regards, Mark.

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Mark Difford (Ph.D.)
Research Associate
Botany Department
Nelson Mandela Metropolitan University
Port Elizabeth, South Africa
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Dear Mark and Katherine,

As well, version 2.0-0 of the sem package on R-Forge, and soon to be on
CRAN, includes R^2 values as part of the summary() output (along with many
other enhancements).

Best,
 John