similar to: Help on factanal.fit.mle

--=-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 =

R Gurus,I have a vector of nearly 90,000 characters from which I have to extract the index of the characters which are repeated. So suppose if x<-c("a","a","b","a","b","c","d") then my output would be a vector having the index where the values are repeated i.e (1,2,3,4,5). I have been able to isolate out the values that are

>From an example in http://www.uni-muenster.de/ZIV.BennoSueselbeck/s-html/helpfiles/nargs.html , number of arguments in '...' can be obtained by (function(...)nargs())(...) . I now realize that sys.call() doesn't expand '...' when the function is called with '...'. It just returns the call as is. If 'stopifnot' uses sys.call() instead of match.call() , the

In S-PLUS 3.4 help on 'c' (http://www.uni-muenster.de/ZIV.BennoSueselbeck/s-html/helpfiles/c.html), there is no 'use.names' argument. Because 'c' is a generic function, I don't think that changing formal arguments is good. In R devel r71344, 'use.names' is not an argument of functions 'c.Date', 'c.POSIXct' and 'c.difftime'. Could

Hello, I would like to know whether R has a homogeneous function of S-plus's new.frame(), which create explicit frames in the evaluator and provide a locale for computations that can be shared among various functions. new.frame() in S-plus: http://www.uni-muenster.de/ZIV/Mitarbeiter/BennoSueselbeck/s-html/helpfiles/new.frame.html Thanks.

Hi, I am facing a problem in data manipulation. Suppose a data frame contains two columns. The first column consists of some repeated characters and the second consists of some numerical values. The problem is to extract and create a new data frame consisting of rows of each unique character of first column with minimum second column entry. For example if "d" is the data

I'd vote for it to stay. It could of course suprise someone who'd expect c(list(a=1), b=2, use.names = FALSE) to generate list(a=1, b=2, use.names=FALSE). On the upside, is the performance gain from using use.names=FALSE. Below benchmarks show that the combining of the names attributes themselves takes ~20-25 times longer than the combining of the integers themselves. Also, at no

While you are fiddling with stopifnot(), please consider changing the form of the error thrown so that it includes the caller's call. The change would be from something like stop( <<the message>> ) to stop(simpleError( <<the message>>, sys.call(-1))) For the following code f <- function(x, y) { stopifnot(x > y) x - y } g <- function(x,

I am a user of R, but I don't read current R-mail's, because I use it seldom. I should solve a factor analysis, but I don't find a proper R function, like the function factanal in S-Plus. Does someone can tell me, if there exist an R-analoge- function? I I'am glad to here, if someone can help me thanks Sigrid -- Z?rcher Hochschule Winterthur Departement Physik und

Hi. It seems that nearly every time I try to use factanal I get the following response: >faa2db1<-factanal(mretdb1,factors=2,method="mle",control=list(nstart=25)) Error in factanal(mretdb1, factors = 2, method = "mle", control = list(nstart = 25)) : unable to optimize from these starting value(s) > In the case cited above, mretdb1 is synthetic data created

Hi list, I'm performing a series of confirmatory factor analysis on different groupings of items from data collected with questionnaires. There are some missing values. For those sets with no missing values I call factanal(datamatrix,factors=n) where datamatrix is a table of all observations for the items under investigation. This call fails when there are missing values. help(factanal)

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

Hello! I have a question about the factanal function. This function returns at the end test statistics like this: Test of the hypothesis that 4 factors are sufficient. The chi square statistic is 4.63 on 2 degrees of freedom. The p-value is 0.0988 Is it possible to get the chi square statistic and the p-value as variables, not the text on the screen? An object of class "factanal"

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

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...

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

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

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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

In R factanal output, I can't find a function to give me residuals e. I mannually got it by using x -lamda1*f1 -lamda2*f2 - ... -lamdan*fn, but the e I got are not uncorrelated with all the f's. What did I do wrong? Please help. Yijun ____________________________________________________________________________________ Be a better friend, newshound, and