Displaying 20 results from an estimated 2000 matches similar to: "Factor Analysis/Inputting Correlation Matrix"
2007 Feb 06
3
How-To construct a cov list to use a covariance matrix in factanal?
Hi,
I have a set of covariance matrices but not the original data. I want to carry out some exploratory factor analysis. So, I am trying to construct a covariance matrix list as the input for factanal. I can construct a list which includes the cov, the centers, and the n.obs. But it doesn't work. I get an error that says "Error in sqrt(diag(cv)) : Non-numeric argument to mathematical
2007 Jul 13
2
nearest correlation to polychoric
Dear all,
Has someone implemented in R (or any other language)
Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61.
or any other similar algorithm?
Best regards
Jens Oehlschl?gel
Background:
I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded
Highham 2002
2012 May 28
3
Factanal fits
Greetings, all:
I am using factanal in R.
When I enter a matrix or a formula, the print method winds up with something like this:
Test of the hypothesis that 6 factors are sufficient.
The chi square statistic is 28.1 on 22 degrees of freedom.
The p-value is 0.172
But when I enter a covmat, the print method winds up with something like this:
The degrees of freedom for the model is 22 and the
2010 Jul 24
2
Book on R's Programming Language
Can someone please recommend to me a book on the programming language that R is based on? I'm looking for a foundational book that teaches the logic of the S language. It seems that knowing the underpinnings of the language can only make using R a bit easier.
Any leads are greatly appreciated . . .
Matt.
[[alternative HTML version deleted]]
2009 Jan 30
1
Factor Analysis-factanal function
Dear friends,
I'm using R to produce the following Factor Analysis:
> matriz.cor<-hetcor(matrix(as.factor(data), ncol=variables,
byrow=T))$correlations
> factanal(x=data, factors=2, covmat=matriz.cor, scores='regression')
Then the screen output shows the following message:
Error en factanal(x = data, factors = 2, covmat = matrix, :
requested scores without
2008 Sep 09
1
Addendum to wishlist bug report #10931 (factanal) (PR#12754)
--=-hiYzUeWcRJ/+kx41aPIZ
Content-Type: text/plain; charset="UTF-8"
Content-Transfer-Encoding: 8bit
Hi,
on March 10 I filed a wishlist bug report asking for the inclusion of
some changes to factanal() and the associated print method. The changes
were originally proposed by John Fox in 2005; they make print.factanal()
display factor correlations if factanal() is called with rotation =
2002 Aug 29
2
Factor Analysis in MASS4
Hi,
I had a look at the MASS4 scripts in the MASS package, in Ch 11.3 Factor
Analysis, there is a section of codes like:
data(ability.cov)
ability.FA <- factanal(covmat = ability.cov, factors = 1)
ability.FA
(ability.FA <- update(ability.FA, factors = 2))
#summary(ability.FA)
round(loadings(ability.FA) %*% t(loadings(ability.FA)) +
diag(ability.FA$uniq), 3)
2007 May 03
3
factanal AIC?
Dear list members,
Could any expert on factor analysis be so kind to explain how to calculate AIC on the output of factanal. Do I calculate AIC wrong or is factanal$criteria["objective"] not a negative log-likelihood?
Best regards
Jens Oehlschl?gel
The AIC calculated using summary.factanal below don't appear correct to me:
n items factors total.df rest.df model.df
2007 May 03
3
factanal AIC?
Dear list members,
Could any expert on factor analysis be so kind to explain how to calculate AIC on the output of factanal. Do I calculate AIC wrong or is factanal$criteria["objective"] not a negative log-likelihood?
Best regards
Jens Oehlschl?gel
The AIC calculated using summary.factanal below don't appear correct to me:
n items factors total.df rest.df model.df
2007 May 19
2
What's wrong with my code ?
I try to code the ULS factor analysis descrbied in
ftp://ftp.spss.com/pub/spss/statistics/spss/algorithms/ factor.pdf
# see PP5-6
factanal.fit.uls <- function(cmat, factors, start=NULL, lower = 0.005,
control = NULL, ...)
{
FAfn <- function(Psi, S, q)
{
Sstar <- S - diag(Psi)
E <- eigen(Sstar, symmetric = TRUE, only.values = TRUE)
e <- E$values[-(1:q)]
e <-
2007 Oct 06
2
factanal: error message
Hi everyone,
I'm running a factor analysis on a correlation matrix with 32 rows and
columns.
I get the following error when I issue the command sequence
mich.fac1 <- factanal(michcor, factor=1)
Error in solve.default(cv) : system is computationally singular: reciprocal
condition number = 3.24729e-18
I'd really appreciate an explanation for this error and a solution to the
problem
2009 Nov 03
1
Passing Command to Optim in factanal
Hi,
I am currently trying to execute the following command:
f<-factanal(factors=k$Components$nparallel,covmat=m,n.obs=2287,rotation="varimax",control=list(opt=list(method=c("BFGS"))))
but keep getting the error: L-BFGS-B needs finite values of 'fn'
I can't figure out what I am doing wrong here, why isn't optim being told to use BFGS instead of L-BFGS-B...
2003 Jan 20
1
make check for R-1.6.2 on IBM AIX
Dear all,
The 'make check' step fails for the pacakge mva on IBM AIX.
The tail of the Rout log file looks like:
> for(factors in 2:4) print(update(Harman23.FA, factors = factors))
Call:
factanal(factors = factors, covmat = Harman23.cor)
Uniquenesses:
height arm.span forearm lower.leg weight
0.170 0.107 0.166
2004 Nov 30
1
Info
I am having difficulty obtaining the scores from my principal component
analysis. I have used this method before and have had no problems. The
data set that I am using this time is similar to what I have used in the
past. What do I need to do to my dataset in order for me to obtain these
scores?
R screen says the following message
Error in factanal(covmat = pasa.cov, factors = 4) :
2009 May 22
1
Confirmatory factor analysis problems using sem package (works in Amos)
Hello all,
I'm trying to replicate a confirmatory factor analysis done in Amos. The
idea is to compare a one-factor and a two-factor model. I get the following
warning message when I run either model:
"Could not compute QR decomposition of Hessian.
Optimization probably did not converge."
I have no idea what to do here. I believe posters reported the same
problem. It seems
2008 Nov 03
1
Input correlation matrix directly to princomp, prcomp
Hello fellow Rers,
I have a no-doubt simple question which is turning into a headache so
would be grateful for any help.
I want to do a principal components analysis directly on a correlation
matrix object rather than inputting the raw data (and specifying cor =
TRUE or the like). The reason behind this is I need to use polychoric
correlation coefficients calculated with John Fox's
2003 Jan 03
4
factor analysis (pca): how to get the 'communalities'?
Dear expe-R-ts,
I try some test data for a factorAnalysis (resp. pca) in the sense of Prof.
Ripley's MASS ? 11.1, p. 330 ff., just to prepare myself for an analysis of my
own empirical data using R (instead of SPSS).
1. the data.
## The test data is (from the book of Backhaus et al.: Multivariate ##
Analysemethoden. Springer 2000 [9th ed.], p. 300 ff):
2004 Nov 16
5
Difference between two correlation matrices
Hi
Now a more theoretical question. I have two correlation matrices - one
of a set of variables under a particular condition, the other of the
same set of variables under a different condition. Is there a
statistical test I can use to see if these correlation matrices are
"different"?
Thanks
Mick
2009 May 09
2
Sweave \Sexpr{} advice please
Dear List,
First off, my deepest gratitude to the Sweave developers: this tool has
improved my quality greatly.
A question in my work I use \Sexpr{} statements scalar values and the xtable
package for all manner of tables. What I'd like to do is to use a vector
inline, rather than a whole separate table. Something like:
%%%%%%%%%%%%%%%% begin code
% Latex junk
% Sweave block:
2008 Oct 09
2
vectorization instead of using loop
Dear all,
I've sent this question 2 days ago and got response from Sarah. Thanks for
that. But unfortunately, it did not really solve our problem. The main issue
is that we want to use our own (manipulated) covariance matrix in the
calculation of the mahalanobis distance. Does anyone know how to vectorize
the below code instead of using a loop (which slows it down)?
I'd really appreciate