OpenMx Error Messages
rranne2@uic.edu
Joined: 12/10/2018
unexpected string constant error message in mxModel
I'm looking at how neuroticism ("per_neurot_y1f") predicts later change in symptoms of anxiety (from Time 1 to Time 3). I'm not sure why I'm getting this error message about this particular string of my model. Here's my code.
manifests <- c("Time1newanxiety", "Time3anxiety", "per_neurot_y1f")
latents<-"F1"
lior abramson
Joined: 07/21/2017
the continuous part of the model is not positive definite
I would like to ask your help with an error message that I cannot figure out.
First, some general details about my openMx version:
OpenMx version: 2.7.17 [GIT v2.7.17]
R version: R version 3.4.4 (2018-03-15)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP
NPSOL-enabled?: No
OpenMP-enabled?: No
I am trying to do a bivariate Cholesky model with paths specifications, with a syntax that worked before...
For some reason I get the following error message:
Veronica_echo
Joined: 02/23/2018
Error message for mxCompare() with boot = T
I want to compare a 2-class growth mixture model to a latent growth curve model in individually-varying time points framework (i.e., definition variables), and here is the code and error message and OpenMx version:
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- 21 comments
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PaulTwin
Joined: 01/29/2017
Error in svd(X) : infinite or missing values in 'x'
For my research, I am running a latent variable model with an interaction effect between two latent variables on a latent outcome variable, all measured by ordinal and skewed manifest variables. I use WLS estimation and the matched pairs approach (Marsh et al., 2004) to model the latent interaction. I attached two simulated datasets:
* forumdata1: the true size of the latent interaction is 0
* forumdata2: the true size of the latent interaction effect is .04
PaulTwin
Joined: 01/29/2017
Error in t(jac0C) %*% W
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lior abramson
Joined: 07/21/2017
Ordinal covariance is not positive definite in data
I would like to ask for help with an error:
Details about my openMX run:
OpenMx version: 2.7.12 [GIT v2.7.12-dirty]
R version: R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP
I am trying to run a univariate model with three covariates-one categorical and two continuous. Unfortunately, when I get to the phase of model running (mxRun), no matter what I do, I receive the following error:
lior abramson
Joined: 07/21/2017
error code 6 in Univariate ACE model- Could it be related to missing data?
I would like to ask for help with an error code 6:
Required details about my openMX run:
OpenMx version: 2.7.12 [GIT v2.7.12-dirty]
R version: R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP
rabil
Joined: 01/14/2010
Error: Unknown reference 'rho' detected
fit.all.cov.deep2 <- mxRun(model.all.cov.deep2)
Error: Unknown reference 'rho' detected in the entity 'cov23' in model 'model_all_cov_deep2'
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rabil
Joined: 01/14/2010
OpenMx Does Not Provide Correct Results for Example Code?
Here is the example code from mxTryHard:
library(OpenMx)
data(demoOneFactor) # load the demoOneFactor dataframe
rabil
Joined: 01/14/2010
Error Meesage from mxGenerateData from Documentation Example Code
When I try to use mxGenerateData, it gives an error.
http://openmx.psyc.virginia.edu/docs/OpenMx/2.6.7/_static/demo/OneFactorJoint_PathRaw.R
#
# Copyright 2007-2012 The OpenMx Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#