The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Very simple request for those kind of analyses with many many runs. This output quickly fills up the console:
Running model: simple_xrekar_f_7.inp
System command: C:\WINDOWS\system32\cmd.exe /c cd "C:\Users\py128\NIFU\20750 Evalueringen av Tett på realfag - General\Spørreundersøkelser\Analyser\mplus" && "Mplus" "simple_xrekar_f_7.inp"
Reading model: simple_xrekar_f_7.out
Wrote model to: simple_xrekar_e_01.inp
Wrote data to: simple_xrekar_e_01.dat
Often this is useless information. If things go awry, then either it is an error/warning that is useful, or one can turn quiet=FALSE
Preferably in mplusModeler()
Very simple request for those kind of analyses with many many runs. This output quickly fills up the console: Running model: simple_xrekar_f_7.inp System command: C:\WINDOWS\system32\cmd.exe /c cd "C:\Users\py128\NIFU\20750 Evalueringen av Tett på realfag - General\Spørreundersøkelser\Analyser\mplus" && "Mplus" "simple_xrekar_f_7.inp" Reading model: simple_xrekar_f_7.out Wrote model to: simple_xrekar_e_01.inp Wrote data to: simple_xrekar_e_01.dat Often this is useless information. If things go awry, then either it is an error/warning that is useful, or one can turn
quiet=FALSE
Preferably in mplusModeler()