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.
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Error in if (all(sapply(modelList, function(x) { : missing value where TRUE/FALSE needed In addition: Warning message: In all(sapply(modelList, function(x) { : coercing argument of type 'list' to logical #176
No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output.
No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output.
No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output.
No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output.
Error in if (all(sapply(modelList, function(x) { :
missing value where TRUE/FALSE needed
In addition: Warning message:
In all(sapply(modelList, function(x) { :
coercing argument of type 'list' to logical
Hi, would you like to help me?
library(poLCA) data(cheating)
cheating <- cheating %>% clean_names()
df_cheat <- cheating %>% # dplyr::select(1:4) %>% # dplyr::mutate_all(funs(.-1)) #
Run a quick LCA using
createMixturescreateMixtures(classes = 1:4, filename_stem = "cheat",
rdata = df_cheat,
ANALYSIS = "processors = 10; starts 500 100;",
VARIABLE = "CATEGORICAL = lieexam-copyexam;",
PLOT = "type = plot3; series = lieexam-copyexam(*);")
files <- data.frame(names = list.files(path = here(), full.names = FALSE))
f_cheat <- files %>% dplyr::filter(., grepl('cheat', names))
for (i in 1:length(f_cheat)) { file.move(glue(here("{f_cheat[, i]}")), here("enum_ch")) }
runModels(here("enum_ch"), filefilter = "cheat")
View model fit statistics with
mixtureSummaryTable()output_cheat <- readModels(here("enum_ch"), filefilter = "cheat", quiet = TRUE)
No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output. No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output. No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output. No PROPORTION OF DATA PRESENT sections found within COVARIANCE COVERAGE OF DATA output.
gt(mixtureSummaryTable(output_cheat)) %>% # tab_header( # title = "Fit Indices") %>% # tab_options( # table.width = pct(80)) %>% # tab_footnote( # footnote = "Undergraduate Cheating Behavior", # location = cells_title())
Error in if (all(sapply(modelList, function(x) { : missing value where TRUE/FALSE needed In addition: Warning message: In all(sapply(modelList, function(x) { : coercing argument of type 'list' to logical