search for: lisrel

I am using R and LISREL for simulation studies. R generates the data that is analyzed with LISREL. In LISREL I use "PV" in the LISREL output statement to request estimated variances. LISREL writes these in a file that looks like this: 1 0 0 0.100331D+01 0.144845D+01 0.141009D+01 0.214423D+01 0.214129D...

I am new to R. I just tried to recreate in R (using sem package and the identical input data) a solution for a simple measurment model I have found before in LISREL. LISREL had no problems and converged in just 3 iterations. In sem, I got no solution, just the warning message: "Could not compute QR decomposition of Hessian. Optimization probably did not converge. in: sem.default(ram = ram, S = S, N = N, param.names = pars, var.names = vars, " Wha...

Hello to everybody. My name is Carlo and I would like to share with you a problem I encountered. I've tried to install a statistical software, LISREL V.8.8, usually running under Windows. I followed all the Wine procedure by the graphical interface, not command line. The installation seemed complete: at the end of it the installation package asked me to reboot my laptop. I did it twice: the first time rebooting (I have a double partition) and th...

Hi there, as a student sociology, I'm starting to learn about SEM. The course I follow is based on LISREL, but I want to use the SEM-package on R parallel to it. Using LISREL, I found it to be very usable to be able to see the total direct and total indirect effects (standardized and unstandardized) in the output. Can I create these effects using R? I know how to calculate them 'by hand...

Hi, (1.) How is it possible to get automatic a "lower triangle of correlation matrix" ? h.cor <- cor(dat,use="pairwise.complete.obs") zz <- lower.tri(h.cor,diag=T) ### that's not what i wish and "wrong" ? results <- matrix(unlist(h.cor[upper.tri(h.cor,diag=T)])) results <- matrix(unlist(h.cor[upper.tri(h.cor,diag=T)]),5) Must i take the lowest

I don't know of any R package that can match all the functionality of LEM eg fitting equality constraints to model parameters a la LISREL. WRT dumping tables, I would have thought that as.data.frame.table does pretty much what you want, [not tested] newtab <- as.data.frame(table(a,b,c)) cat("dim\n") for(i in seq(1, ncol(newtab)-1) { cat(nlevels(newtab[,1]," ") } cat("\nlab ") for(i in seq(1, nco...

Does anyone know if the sem package in R can implement a stacked model comparison, for example as in LISREL or AMOS? Thanks, Anthony -- Anthony Steven Dick, Ph.D. Post-Doctoral Fellow Human Neuroscience Laboratory Department of Neurology The University of Chicago 5841 S. Maryland Ave. MC-2030 Chicago, IL 60637 Phone: (773)-834-7770 Email: adick at uchicago.edu Web: http://home.uchicago.edu/~adick/

...it late, but you might like to look at http://www.qimr.edu.au/davidD/polyr.R Regarding the original posters queries: You can analyse polychoric correlations as if they were Pearson correlations using standard software (eg sem), and this usually doesn't do too badly, or go to AWLS (Browne) in LISREL etc, or ML analysis of the full multidimensional contingency table using programs such as Mx, or as you noted, mvtnorm (Mx uses Alan Genz's algorithms). You can check model assumptions, and compare the results to those from similar loglinear models. For example, for a 3-way table, a single fa...

...lo, I finally run my measurement model in sem - successfully. Now, I am trying to print out the path diagram that is based on the results - but for some reason it's not working. Below is my script - but the problem is probably in my very last line: # ANALYSIS OF ANXIETY, DEPRESSION, AND FEAR - LISREL P.31 library(sem) # Creating the ANXIETY, DEPRESSION, AND FEAR intercorrelation matrix (KM) KM<-matrix( c(1,.8,.83,.2,.21,.19,.18,.18,.18, 0,1,.81,.22,.24,.18,.19,.19,.21, 0,0,1,.22,.19,.2,.2,.2,.22, 0,0,0,1,.84,.82,.22,.22,.21, 0,0,0,0,1,.84,.19,.18,.19, 0,0,0,0,0,1,.18,.18,.18, 0,0,0,0,0,0,1,....

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)

Dears, I'm a college student and In doing my statistics homework. I use R with SEM package as my tool for sem analysis, but my teacher told me AMOS is more suitable for such analysis. Could someone help tell me whether it is true that some commercial software is better accepted in academic fields? Sorry if I should not post such topics here. -- Best Regards, Reeyarn T. Lee Accounting

...to do some correlational analyses. Ignoring for the moment whether this is wise or useful, is there some way to calculate a matrix using, for example, polychoric correlations for pairs of nominal variables, or correlations based on normal scores for ordinal variables? [The PRELIS program, part of LISREL does this, with a variety of options.] -Michael -- Michael Friendly friendly at yorku.ca York University http://www.math.yorku.ca/SCS/friendly.html Psychology Department 4700 Keele Street Tel: (416) 736-5115 x66249 Toronto, Ontario, M3J 1P3 Fax: (416...

Hi, i read something about MECOSA3 (G.Arminger) which is a software to : "Analysis of finite mixtures of conditional Lisrel models" I'm very interested to identify heterogeneous subpopulations and ask me are similar functions doing something in R, too ??? I know SEM and perhaps with some additions/modifications it is possible doing this general mean- and covariance structures with metric and non-metric depend...

...ature is called a multifactorial threshold model (MFT ie tetra/polychoric correlation model). The simplest is to treat them as Pearson correlations and use conventional SEM methods, which often works well (esp for large dimensional problems); the AWLS method of Browne as implemented for example in LISREL (needs large N); or full ML fitting to the multidimensional contingency tables, which is available in programs like Mx, or could be fitted pretty easily using mvtnorm as you suggested (Mx uses Genz's algorithms). You should also check the adequacy of fit of the MFT to your data, and look at th...

Dear list members, I am trying to get information on how to fit a linear regression with constrained parameters. Specifically, I have 8 predictors , their coeffiecients should all be non-negative and add up to 1. I understand it is a quadratic programming problem but I have no experience in the subject. I searched the archives but the results were inconclusive. Could someone provide suggestions

I have a student that I'm encouraging to use R rather than SAS or Stata and within just 2 weeks he has come up with a question that stumps me. What does a person do about endogeneity in generalized linear models? Suppose Y1 and Y2 are 5 category ordinal dependent variables. I see that MASS has polr for estimation of models like that, as long as they are independent. But what if the

Hello. I have been browsing the R- manual and not seen any direct implementation of Factor analysis. Is there anyone out there who has run Factor Analysis with R? Thanks Michael -- Michael Preminger Forsker / Research Scientist Avdeling for journalistikk, bibliotek- og informasjonsfag / Faculty of Journalism, Library and Information Science H?gskolen i Oslo / Oslo College

...RNet. We discovered many unmitigated risks and numerous registry vulnerabilities. Above mentioned open source software poses high risks to the NIPRNet. We recommend using software from the Kirtland Base approved list. Here are some examples of the base approved statistical software: SPSS v19.x LISREL v8.x JMP v8.x - Soon to be certify JMP v9 or 10 Matlab v7.x Mathematica v8.x OriginPro v8.x If you like, we can add following statistical software on the base list, which will be available on May 25th. Minitab v16.x SAS v9.x Maple v15.x In addition, please let us know if you have any...