On Aug 25, 2009, at 3:45 PM, David G. Tully wrote:
I am sure there is a simple way to do the following, but i haven't
been able to find it. I am hoping a merciful soul on R-help could
point me in the right direction.
I am doing a factor analysis on survey data with missing values. to
do this, I run:
FA1<-factanal(na.omit(DATA), factors = X, rotation = 'oblimin',
scores = 'regression')
Now that I have my factors and factor scores, I want to add those
scores back to my original dataset so I can plot factor scores by
demographics. However, when I try to add the scores back to the
original data frame, the variables are of different lengths.
Is there a way to subset from my original data set that will work
with factanal() and preserve the original rows or that will allow me
to append the factor scores back onto the original dataset with the
proper rows and NAs where there could be no data?
Can you post an example of what you are working with? The dput
function will create output in a form that can readily be turned into
a working example by list readers.
Again, I apologize if I am missing something basic. I am a self
taught R user and couldn't find an answer to this question.
Thanks in advance,
David
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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