R help - Apr 2003 - Details to factor analysis

Well, it is no problem to use R or S-Plus for a principle component analysis
(PCA). The function "princomp" works very well with my polychoric
correlation matrix, that I use for this approach on ordinal variables. But I
want to inspect the Kaiser-Meyer-Olkin-crieterion with the "measure of
sampling adequancy (MSA)" and the anti-image-correlation matrix. I
can''t find any possibility to compute this. Please give me a hint.

Many Thanks!
Tino
	[[alternate HTML version deleted]]

I've been hoping someone else would reply.  My only suggestion
is:  look up the formula for the quantities you want and calculate
them directly, using matrix or vector arithmetic at the R command
line.  That's what most people do.

-  tom blackwell  -  u michigan medical school  -  ann arbor  -

On Sun, 6 Apr 2003, Tino Richter wrote:
> Well, it is no problem to use R or S-Plus for a principle
> component analysis (PCA). The function "princomp" works very
> well with my polychoric correlation matrix, that I use for
> this approach on ordinal variables. But I want to inspect the
> Kaiser-Meyer-Olkin-crieterion with the "measure of sampling
> adequancy (MSA)" and the anti-image-correlation matrix.
> I can't find any possibility to compute this. Please give me
> a hint.
>
> Many Thanks!
> Tino
>