Sure, something like that. Store each model as an element of a list,
and then use something like
for(i in 1:4){
indices<-combn(1:4, i)
for (j in 1:length(indices[1,])){
new.model<-combine.models(model.pieces[ indices[,j] ] )
#code for analysis
}
Jarret,
I've donwloaded the zip file and installed, but maybe have lost some
pre-req check. I have manually installed sna.
Anyway, which would be the approach you suggest? Making (using my
example) 4 different models, one for each construct, then use
combine.models and add.to.models to create the
install.packages("sem-additions",repos="http://R-Forge.R-project.org";)
Sorry, it's sem-additions on r-forge. Not sem.additions, which is
what I had originally called it. But they won't take . in the name of
a package.
On Apr 9, 2009, at 4:07 PM, Iuri Gavronski wrote:
Jarret,
Look:
ins
Jarret,
Look:
> install.packages("sem.additions", repos="http://R-Forge.R-project.org";)
Warning message:
package ‘sem.additions’ is not available
>
Best,
Iuri.
On Thu, Apr 9, 2009 at 3:10 PM, Jarrett Byrnes wrote:
> Ivan,
>
> I recently put together the sem.additions package over at R forge i
Ivan,
I recently put together the sem.additions package over at R forge in
part for just such a multiple model problem. THere are a variety of
methods that make it easy to add/delete links that could be automated
with a for loop and something from the combn package, I think.
http://r-for
Hi,
I am not sure if R-help is the right forum for my question. If not,
please let me know.
I have to do some discriminant validity tests with some constructs. I
am using the method of doing a CFA constraining the correlation of a
pair of the constructs to 1 and comparing the chi-square of this
c
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