similar to: factanal prediction

Can one perform a QDA in R? I do not see it anywhere within the mda package. Any pointers here would be appreciated. Thanks, cjf -- ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~* Christopher J. Fonnesbeck Ph.D. Student Georgia Cooperative Wildlife Unit University of Georgia Athens, GA 30602 Email: cjf at fonnesbeck.net Yahoo: fonnesbeck_chris ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*

I dont get it: > is.vector(c(mydf[1])) [1] TRUE > unique(c(mydf[1])) Error in unique(c(mydf[1])) : unique() applies only to vectors > Is it a vector or not? This stuff is driving me nuts. I'm simply trying to convince R that my grouping vector is actually a vector so that unique will work. Its just a vector of numbers, so why shouldnt it work? --

Hello, I am trying to import a list of "structure" objects into R (data for BUGS, actually), but am having little success. In the help file for scan there dies not seem to be a list of valid values for the "what" keyword. Can anyone provide me with one? I have pasted in a sample input file that I am trying to import below this message. I have tried

I am trying to build 1.6.2 from source RPM's on RedHat 9, but encounter a failure when running the base tests. An inspection of base-Ex.Rout.fail reveals the following: > ##___ Examples ___: > > var(1:10)# 9.166667 [1] 9.166667 > > var(1:5,1:5)# 2.5 [1] 2.5 > > ## Two simple vectors > cor(1:10,2:11)# == 1 [1] 1 > > > stopifnot( is.na(var(1)), +

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

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

Hi, I wonder why factor scores produced by factanal are correlated, and I'd appreciate any hints from people that may help me to get a deeper understanding why that's the case. By the way: I'm a psychologist used to SPSS, so that question my sound a little silly to your ears. Here's my minimal example: *********************************************** v1 <-

Dear R users Happy New year to all for a start. Below is some data that I ran a factor analysis on. Using $score prints the scores for each of the three factors. However, I would like to access those factors as variable for new computations. How do I do that? In SPSS we just call fact1_1, fact2_1 etc.. Thanks for your suggestions. V ============ v1 <- c(1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,4,5,6) v2

Dear all, i wonder if there?s a command to obtain the actual values of a principal component or a factor (not as.factor, but factanal) . test=princomp(USArrests, cor = TRUE) summary(test) just outputs, standard deviation, Prop of Variance and cumulative proportion of variance. test$loadings offers yet another proportion of variance scheme. why is that? Apart from that: Is there a

> Does factanal() force the user to use the formula interface if they > wish to specify an na.action? Short answer: yes. Long answer: The handling of na.action is a built in part of the formula processing functions, so it's automatic when dealing with a formula. There are also downstream effects on predict() and resid() that are worked out for the formula case, but aren't clear

hi, Does factanal() force the user to use the formula interface if they wish to specify an na.action? v1 <- c(1,1,1,1,1,1,1,1,NA,1,3,3,3,3,3,4,5,6) v2 <- c(1,2,1,1,1,1,2,1,2,1,3,NA,3,3,3,4,6,5) v3 <- c(3,3,3,3,3,1,1,1,1,1,1,1,1,1,1,5,4,6) v4 <- c(3,3,4,NA,3,1,1,2,1,1,1,1,2,NA,1,5,6,4) v5 <- c(1,1,1,1,1,3,3,3,3,3,1,1,1,1,1,6,4,5) v6 <- c(1,1,1,2,1,3,3,3,4,3,1,1,1,2,1,6,5,4) m1

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

--=-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 =

I noticed in the collection of contributed packages for the OSX release of R, there is no RMySQL package. Does anyone know if one exists, or otherwise, how to connect to relational databases from R on Mac? Any help mode appreciated. cjf

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]]

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"

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...