R help - Mar 2006 - Help on factanal.fit.mle

Hi
Can anybody please suggest me about the documentation of
"factanal.fit.mle()"
(Not factanal()------ searching factanal.fit.mle() in R always leads to
factanal()).
Is there any function for doing principal component factor analysis in R.
Regards
Souvik Bandyopadhyay
JRF,
Dept Of Statistics
Calcutta University

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In mva package, try ?prcomp.

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of souvik banerjee
Sent: Wednesday, March 15, 2006 12:44 PM
To: r-help at stat.math.ethz.ch
Subject: [R] Help on factanal.fit.mle

Hi
Can anybody please suggest me about the documentation of
"factanal.fit.mle()"
(Not factanal()------ searching factanal.fit.mle() in R always leads to
factanal()).
Is there any function for doing principal component factor analysis in
R.
Regards
Souvik Bandyopadhyay
JRF,
Dept Of Statistics
Calcutta University

	[[alternative HTML version deleted]]

______________________________________________
R-help at stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html

Try this link also.

http://tolstoy.newcastle.edu.au/R/help/02b/0943.html


-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of souvik banerjee
Sent: Wednesday, March 15, 2006 12:44 PM
To: r-help at stat.math.ethz.ch
Subject: [R] Help on factanal.fit.mle

Hi
Can anybody please suggest me about the documentation of
"factanal.fit.mle()"
(Not factanal()------ searching factanal.fit.mle() in R always leads to
factanal()).
Is there any function for doing principal component factor analysis in
R.
Regards
Souvik Bandyopadhyay
JRF,
Dept Of Statistics
Calcutta University

	[[alternative HTML version deleted]]

______________________________________________
R-help at stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html

Hi 

        May the following document for "factanal.fit.mle" be helpful
for
you as you requested. You may try with "princomp" for doing principal
component factor analysis in R.

 

Maximum Likelihood Estimate of Factor Analysis Model 

________________________________

DESCRIPTION: 

Returns an object of class "factanal" representing the maximum
likelihood estimate of the model. 

________________________________

size=2 width="100%" align=center> 

USAGE: 

factanal.fit.mle(cmat, factors, p=ncol(cmat), start=<<see below>>,
         control=factanal.mle.control(), ...)
________________________________

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REQUIRED ARGUMENTS: 

cmat: 

a correlation matrix. Missing values are not accepted. 

factors: 

the number of factors in the model. 

________________________________

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OPTIONAL ARGUMENTS: 

p: 

the number of variables (the number of rows and columns in cmat). 

start: 

a matrix with p rows and an arbitrary number of columns, each column of
which is a starting value for the uniquenesses. The default is the
result of factanal.start.mle. 

control: 

a list like the result of factanal.mle.control. A list that does not
meet the proper criteria will be ignored. 

...: 

arguments to factanal.mle.control may be given individually. 

________________________________

size=2 width="100%" align=center> 

VALUE: 

an object of class "factanal", see factanal.object for details. 

________________________________

size=2 width="100%" align=center> 

DETAILS: 

The algorithm is a modified version of that described by Joreskog
(1977), which is essentially a Newton-Raphson procedure with some tricks
specific to this estimation problem. The main modification from the
Joreskog algorithm is that the solution is constrained to remain
strictly within the allowable region. The constraint allows estimation
to proceed when Heywood cases occur. 

The algorithm tests each of the starting values given in start and uses
the one with the largest likelihood. 

________________________________

size=2 width="100%" align=center> 

REFERENCES: 

Joreskog, K. G. (1977). Factor analysis by least-squares and
maximum-likelihood methods. In Statistical Methods for Digital
Computers. Enslein, K., Ralston, A. and Wilf, H. S. (editors). Wiley,
New York. 

________________________________

size=2 width="100%" align=center> 

SEE ALSO: 

factanal
<http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpf
iles/factanal.html> , factanal.object
<http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpf
iles/factanal.object.html> , factanal.start.mle
<http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpf
iles/factanal.start.mle.html> , factanal.mle.control,
<http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpf
iles/factanal.mle.control,.html> factanal.fit.principal
<http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpf
iles/factanal.fit.principal.html> . 

 

 

 

 

 

Regards,

Samik Sen

 

 

 

 

 

 


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