"lavaan WARNING: the optimizer (NLMINB) claimed the model converged,
but not all elements of the gradient are (near) zero;
the optimizer may not have found a local solution
use check.gradient = FALSE to skip this check."
"In lav_model_estimate(lavmodel = lavmodel, lavpartable = lavpartable, ... :
lavaan WARNING: the optimizer warns that a solution has NOT been found!"
map(.x = nested_dft$data,
.f = cfa, model = Model_2)
for (i in 1:length(levels(data$group))) {
data <- data%>%
filter(group== levels(data$group)[i])
list[[i]] <- cfa(model = Model_2,
data = data)
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for (i in 1:length(levels(data$group))) {
data <- data%>%
filter(group== levels(data$group)[i])
list[[i]] <- cfa(model = Model_2,
data = data)}
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