Dear Laura,
John is correct. The error is produced by the sem() function in the
lavaan package. The reason is that you did not use proper names for the
function arguments. The correct call should be:
sem.cdu= sem(cdu, sample.cov=hetcor, sampl.nobs=1861,
meanstructure=F,fixed.x=F)
But more importantly, using a polychoric correlation as input, and using
ML estimation will not produce correct standard errors and test
statistics. A better approach is to use the categorical capabilities of
lavaan and provide the full data to sem(), indicating which variables
can be considered as 'ordered'. For example:
sem.cdu= sem(cdu, data=germany2009, ordered=c("cdupid", "MERKELLIKE",
"CDULIKE", "MERKELPROX", "CDUPROX"))
Here, I assumed all variables can be considered as ordered. If some of
them should be treated as conintuous/numeric, omit them from the
ordered= argument.
By default, lavaan will use the WLSMV estimator when ordered variables
are involved.
Yves.
On 11/16/2012 10:13 PM, John Fox wrote:
Dear Laura,
As I explained to you when you wrote to me directly, you're not
having trouble with the polycor package, since you have AFAICS
successfully computed polychoric correlation among your variables.
The error is produced when you call sem(), apparently in the lavaan
package (though you don't mention that), and you should address your
question to the author of that package (or use an appropriate title
line in your r-help posting).
Best, John
------------------------------------------------ John Fox Sen.
William McMaster Prof. of Social Statistics Department of Sociology
McMaster University Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/ On Fri, 16 Nov 2012 12:58:03 +0000
Laura Maria Schwirz <schwi...@tcd.ie> wrote:
I am currently working with R's polycor package and I have
encountered a problem. I tried to follow the steps as outlined in
the sem.pdf file where a CFA model is run using polychoric
correlations. Every time I run the command sem(model, data, N=.), I
get the following warning message: Warning message: In if
(orthogonal) { : the condition has length > 1 and only the first
element will be used
Below is the code that I am using for my dataset. I also tried to
copy and paste the code from the sem.pdf file using data from CNES
but I still get an error message. Any help would be much
appreciated.
germany2009 <- read.dta("StataforR.dta") #attach(germany2009)
viewData(germany2009) # hcor <- function(data) hetcor(data,
std.err=F, pd=T)$correlations hetcor=hcor(germany2009) hetcor
cdupid MERKELLIKE CDULIKE MERKELPROX CDUPROX cdupid
1.0000000 0.5073577 0.6070514 -0.4064925 -0.4146810 MERKELLIKE
0.5073577 1.0000000 0.7832340 -0.4405571 -0.4200360 CDULIKE
0.6070514 0.7832340 1.0000000 -0.4868895 -0.5042006 MERKELPROX
-0.4064925 -0.4405571 -0.4868895 1.0000000 0.8789219 CDUPROX
-0.4146810 -0.4200360 -0.5042006 0.8789219 1.0000000
viewData(hetcor) cdu= ' CDULIKE ~ cdupid + CDUPROX
+ MERKELLIKE ~ cdupid + MERKELPROX + CDUPROX ~ ~ cdupid +
cdupid ~ ~ MERKELPROX + CDUPROX ~ ~ MERKELPROX + MERKELLIKE ~
1 + CDULIKE ~1 '
sem.cdu= sem(cdu, hetcor, N=1861, meanstructure=F,fixed.x=F)
Warning message: In if (orthogonal) { : the condition has length >
1 and only the first element will be used
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