search for: meanstructure

...0.4200360 -0.5042006 0.8789219 1.0000000 > viewData(hetcor) > cdu= ' CDULIKE ~ cdupid + CDUPROX + MERKELLIKE ~ cdupid + MERKELPROX + CDUPROX ~ ~ cdupid + cdupid ~ ~ MERKELPROX + CDUPROX ~ ~ MERKELPROX + MERKELLIKE ~ 1 + CDULIKE ~1 ' > sem.cdu= sem(cdu, hetcor, N=1861, meanstructure=F,fixed.x=F) Warning message: In if (orthogonal) { : the condition has length > 1 and only the first element will be used > sem.cdu= sem(cdu, hetcor, meanstructure=F,fixed.x=F) Warning message: In if (orthogonal) { : the condition has length > 1 and only the first element will be used...

...ve on 7 repeated measures using lavaan (most recent version): modspec=' alpha =~ 1*read_g0 + 1*read_g1 + 1*read_g2 + 1*read_g3 + 1*read_g4 + 1*read_g5 + 1*read_g6 beta =~ 0*read_g0 + 1*read_g1 + 2*read_g2 + 3*read_g3 + 4*read_g4 + 5*read_g5 + 6*read_g6 ' gmod=lavaan(modspec, data=math, meanstructure=T, int.ov.free=F, int.lv.free= T, auto.var=T, auto.cov.lv.x=T, auto.cov.y=T, missing="direct", verbose=T) The model immediately returned the following error message: Error in chol.default(S) : the leading minor of order 5 is not positive definite Error in lavSampleStatsFromData(Data...

...and reliable: there are no convergence problems and numerical results are very close (if not identical) to the commercial package Mplus - many different estimators are available: ML, GLS, WLS, robust ML using Satorra-Bentler corrections, and FIML for data with missing values - full support for meanstructures and multiple groups - user friendly output including standardized solutions, fit measures, modification indices and more To get a first impression of how the 'lavaan model syntax' looks like, below is the full R code for fitting a SEM model: ## begin R Code ## library(lavaan) # The...

...and reliable: there are no convergence problems and numerical results are very close (if not identical) to the commercial package Mplus - many different estimators are available: ML, GLS, WLS, robust ML using Satorra-Bentler corrections, and FIML for data with missing values - full support for meanstructures and multiple groups - user friendly output including standardized solutions, fit measures, modification indices and more To get a first impression of how the 'lavaan model syntax' looks like, below is the full R code for fitting a SEM model: ## begin R Code ## library(lavaan) # The...

Hello R Community, I am using the Lavaan package in R 2.15.0 to analyze data collected from 1200 lakes across North America. My dataset includes 3 continuous independent variables (LOG_NTL, LOG_PTL, and LOG_SR_A_D) and 1 continuous dependent variable (BIOVOL) . I have successfully constructed structural equation models using the Lavaan package (example included below with code), but I have not

...nce problems and > numerical results are very close (if not identical) to the commercial > package Mplus > > - many different estimators are available: ML, GLS, WLS, robust ML using > Satorra-Bentler corrections, and FIML for data with missing values > > - full support for meanstructures and multiple groups > > - user friendly output including standardized solutions, fit measures, > modification indices and more > > To get a first impression of how the 'lavaan model syntax' looks like, > below is the full R code for fitting a SEM model: > > ##...