Re: [R] factanal question
At 11:04 AM -0500 12/1/08, John Fox wrote:
Dear Bill,
Thanks for pointing out that this functionality is already in the psych
package. Shouldn't factor.residuals() avoid this computation for oblique
rotations?
John,
Good suggestion. I will add that in the next revision.
Bill
Regards,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of William Revelle
Sent: December-01-08 10:26 AM
To: John Fox; 'Don McNeil'
Cc: r-help@r-project.org
Subject: Re: [R] factanal question
Don and John,
factor.residuals in the psych package does what you want (and
basically what John wrote).
Bill
At 9:30 AM -0500 12/1/08, John Fox wrote:
Dear Don,
All long as you leave the factors unrotated or do an orthogonal rotation
(as
is the default), you can compute reproduced correlations among the
variables
from the factor loadings, and thus residual correlations given the
loadings
and the original correlation matrix, both of which are accessible in the
object returned by factanal(); the following isn't carefully tested, but
should work:
repRes - function(F, round=3){
A - loadings(F)
R - F$correlation
RR - A %*% t(A)
ResR - R - RR
list(reproduced.correlations=round(RR, round),
residual.correlations=round(ResR, round))
}
Here F is an object returned by factanal(). The diagonal elements of the
reproduced correlations are the communalities, and of the residual
correlations, the uniquenesses.
To do this from an oblique rotation would require the factor-correlation
matrix, which, as has been pointed out previously, factanal() oddly
doesn't
provide. In this case, that's not a real impediment, since reproduced and
residual correlations are invariant with respect to rotation of the
factors.
I hope this helps,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]
On
Behalf Of Don McNeil
Sent: November-30-08 11:39 PM
To: r-help@r-project.org
Subject: [R] factanal question
Dear R users:
I'm wondering if it's possible to get the residual correlation matrix
when
using factanal.
Since factanal assumes that the errors are normally distributed and
independent (provided the factor model fits the data) this would be
useful.
Of course you would need to submit the data to the function to get the
residuals (not just their correlation matrix), but it should be
possible
to
get the residual correlation matrix if only the data correlation
matrix
is
provided.
Don McNeil
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
William Revellehttp://personality-project.org/revelle.html
Professor
http://personality-project.org/personality.html
Department of Psychology
http://www.wcas.northwestern.edu/psych/
Northwestern Universityhttp://www.northwestern.edu/
Attend ISSID/ARP:2009 http://issid.org/issid.2009/
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
William Revelle http://personality-project.org/revelle.html
Professor http://personality-project.org/personality.html
Department of Psychology http://www.wcas.northwestern.edu/psych/
Northwestern University http://www.northwestern.edu/
Attend ISSID/ARP:2009 http://issid.org/issid.2009/
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] factanal question
Dear Don,
All long as you leave the factors unrotated or do an orthogonal rotation (as
is the default), you can compute reproduced correlations among the variables
from the factor loadings, and thus residual correlations given the loadings
and the original correlation matrix, both of which are accessible in the
object returned by factanal(); the following isn't carefully tested, but
should work:
repRes - function(F, round=3){
A - loadings(F)
R - F$correlation
RR - A %*% t(A)
ResR - R - RR
list(reproduced.correlations=round(RR, round),
residual.correlations=round(ResR, round))
}
Here F is an object returned by factanal(). The diagonal elements of the
reproduced correlations are the communalities, and of the residual
correlations, the uniquenesses.
To do this from an oblique rotation would require the factor-correlation
matrix, which, as has been pointed out previously, factanal() oddly doesn't
provide. In this case, that's not a real impediment, since reproduced and
residual correlations are invariant with respect to rotation of the factors.
I hope this helps,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of Don McNeil
Sent: November-30-08 11:39 PM
To: r-help@r-project.org
Subject: [R] factanal question
Dear R users:
I'm wondering if it's possible to get the residual correlation matrix when
using factanal.
Since factanal assumes that the errors are normally distributed and
independent (provided the factor model fits the data) this would be
useful.
Of course you would need to submit the data to the function to get the
residuals (not just their correlation matrix), but it should be possible
to
get the residual correlation matrix if only the data correlation matrix is
provided.
Don McNeil
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] factanal question
Don and John,
factor.residuals in the psych package does what you want (and
basically what John wrote).
Bill
At 9:30 AM -0500 12/1/08, John Fox wrote:
Dear Don,
All long as you leave the factors unrotated or do an orthogonal rotation (as
is the default), you can compute reproduced correlations among the variables
from the factor loadings, and thus residual correlations given the loadings
and the original correlation matrix, both of which are accessible in the
object returned by factanal(); the following isn't carefully tested, but
should work:
repRes - function(F, round=3){
A - loadings(F)
R - F$correlation
RR - A %*% t(A)
ResR - R - RR
list(reproduced.correlations=round(RR, round),
residual.correlations=round(ResR, round))
}
Here F is an object returned by factanal(). The diagonal elements of the
reproduced correlations are the communalities, and of the residual
correlations, the uniquenesses.
To do this from an oblique rotation would require the factor-correlation
matrix, which, as has been pointed out previously, factanal() oddly doesn't
provide. In this case, that's not a real impediment, since reproduced and
residual correlations are invariant with respect to rotation of the factors.
I hope this helps,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of Don McNeil
Sent: November-30-08 11:39 PM
To: r-help@r-project.org
Subject: [R] factanal question
Dear R users:
I'm wondering if it's possible to get the residual correlation matrix when
using factanal.
Since factanal assumes that the errors are normally distributed and
independent (provided the factor model fits the data) this would be
useful.
Of course you would need to submit the data to the function to get the
residuals (not just their correlation matrix), but it should be possible
to
get the residual correlation matrix if only the data correlation matrix is
provided.
Don McNeil
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
William Revelle http://personality-project.org/revelle.html
Professor http://personality-project.org/personality.html
Department of Psychology http://www.wcas.northwestern.edu/psych/
Northwestern University http://www.northwestern.edu/
Attend ISSID/ARP:2009 http://issid.org/issid.2009/
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] factanal question
Dear Bill,
Thanks for pointing out that this functionality is already in the psych
package. Shouldn't factor.residuals() avoid this computation for oblique
rotations?
Regards,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
Behalf Of William Revelle
Sent: December-01-08 10:26 AM
To: John Fox; 'Don McNeil'
Cc: r-help@r-project.org
Subject: Re: [R] factanal question
Don and John,
factor.residuals in the psych package does what you want (and
basically what John wrote).
Bill
At 9:30 AM -0500 12/1/08, John Fox wrote:
Dear Don,
All long as you leave the factors unrotated or do an orthogonal rotation
(as
is the default), you can compute reproduced correlations among the
variables
from the factor loadings, and thus residual correlations given the
loadings
and the original correlation matrix, both of which are accessible in the
object returned by factanal(); the following isn't carefully tested, but
should work:
repRes - function(F, round=3){
A - loadings(F)
R - F$correlation
RR - A %*% t(A)
ResR - R - RR
list(reproduced.correlations=round(RR, round),
residual.correlations=round(ResR, round))
}
Here F is an object returned by factanal(). The diagonal elements of the
reproduced correlations are the communalities, and of the residual
correlations, the uniquenesses.
To do this from an oblique rotation would require the factor-correlation
matrix, which, as has been pointed out previously, factanal() oddly
doesn't
provide. In this case, that's not a real impediment, since reproduced and
residual correlations are invariant with respect to rotation of the
factors.
I hope this helps,
John
--
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]
On
Behalf Of Don McNeil
Sent: November-30-08 11:39 PM
To: r-help@r-project.org
Subject: [R] factanal question
Dear R users:
I'm wondering if it's possible to get the residual correlation matrix
when
using factanal.
Since factanal assumes that the errors are normally distributed and
independent (provided the factor model fits the data) this would be
useful.
Of course you would need to submit the data to the function to get the
residuals (not just their correlation matrix), but it should be
possible
to
get the residual correlation matrix if only the data correlation
matrix
is
provided.
Don McNeil
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
William Revelle http://personality-project.org/revelle.html
Professor
http://personality-project.org/personality.html
Department of Psychology
http://www.wcas.northwestern.edu/psych/
Northwestern University http://www.northwestern.edu/
Attend ISSID/ARP:2009 http://issid.org/issid.2009/
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] factanal question
Dear R users: I'm wondering if it's possible to get the residual correlation matrix when using factanal. Since factanal assumes that the errors are normally distributed and independent (provided the factor model fits the data) this would be useful. Of course you would need to submit the data to the function to get the residuals (not just their correlation matrix), but it should be possible to get the residual correlation matrix if only the data correlation matrix is provided. Don McNeil __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
