R help - Oct 2007 - Q-type factor analysis

Hallo!

Is there a package in R that does Q-type factor analysis?
I know how to do principal component analysis, but haven't found any
application of Q-type factor analysis.

Thx, 
Julia
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On 10/12/07, "Julia Kröpfl" <jkroepfl@gmx.net>
wrote:
>
> Is there a package in R that does Q-type factor analysis?
> I know how to do principal component analysis, but haven't found any
> application of Q-type factor analysis.

Q-mode factor analysis is not a separate "type" of factor analysis but
(in
old-fashioned psychological slang) analyzing of rows rather than the columns
of data matrix. So you can transpose your data (with t() if it's a matrix)
and do an "ordinary" factor analysis or PCA.

Kenn

	[[alternative HTML version deleted]]

Hi there!

I have tried your idea with rotating the matrix and performing a normal PCA, but
the problem is, that "princomp" can only perform PCA if there are more
rows than columns. When I rotate the matrix, I get my observations put in the
columns and my features in the rows (more columns than rows) and therefore get
an error message.

Any ideas what to do?

Thx for your help,
I really appreciate it!
Julia

-------- Original-Nachricht --------
> Datum: Fri, 12 Oct 2007 23:38:01 +0300
> Von: "Kenn Konstabel" <lebatsnok at gmail.com>
> An: "Julia Kr?pfl" <jkroepfl at gmx.net>
> CC: r-help at r-project.org
> Betreff: Re: [R] Q-type factor analysis
> On 10/12/07, "Julia Kr?pfl" <jkroepfl at gmx.net> wrote:
> >
> > Is there a package in R that does Q-type factor analysis?
> > I know how to do principal component analysis, but haven't found
any
> > application of Q-type factor analysis.
> 
> 
> Q-mode factor analysis is not a separate "type" of factor
analysis but (in
> old-fashioned psychological slang) analyzing of rows rather than the
> columns
> of data matrix. So you can transpose your data (with t() if it's a
matrix)
> and do an "ordinary" factor analysis or PCA.
> 
> Kenn
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