MplusAutomation (version 1.1.1)

get_results: Extract Mplus results

Description

This function allows users to extract elements of Mplus output by name from different types of objects returned by MplusAutomation.

Usage

get_results(x, element, simplify = FALSE, ...)
get_input(x, simplify = FALSE, ...)
get_warn_err(x, simplify = FALSE, ...)
get_data_summary(x, simplify = FALSE, ...)
get_sampstat(x, simplify = FALSE, ...)
get_covariance_coverage(x, simplify = FALSE, ...)
get_summaries(x, simplify = FALSE, ...)
get_invariance_testing(x, simplify = FALSE, ...)
get_parameters(x, simplify = FALSE, ...)
get_class_counts(x, simplify = FALSE, ...)
get_indirect(x, simplify = FALSE, ...)
get_mod_indices(x, simplify = FALSE, ...)
get_residuals(x, simplify = FALSE, ...)
get_savedata(x, simplify = FALSE, ...)
get_bparameters(x, simplify = FALSE, ...)
get_tech1(x, simplify = FALSE, ...)
get_tech3(x, simplify = FALSE, ...)
get_tech4(x, simplify = FALSE, ...)
get_tech7(x, simplify = FALSE, ...)
get_tech8(x, simplify = FALSE, ...)
get_tech9(x, simplify = FALSE, ...)
get_tech10(x, simplify = FALSE, ...)
get_tech12(x, simplify = FALSE, ...)
get_tech15(x, simplify = FALSE, ...)
get_fac_score_stats(x, simplify = FALSE, ...)
get_lcCondMeans(x, simplify = FALSE, ...)
get_gh5(x, simplify = FALSE, ...)

Value

An atomic vector or matrix or list of the same length as X (of length n for replicate). If simplification occurs, the output type is determined from the highest type of the return values in the hierarchy NULL < raw < logical < integer < double < complex < character < list < expression, after coercion of pairlists to lists.

Arguments

x

Object from which to extract results.

element

Which element of the results to extract.

simplify

Logical; should the result be simplified to a vector, matrix or higher dimensional array if possible? See sapply. Defaults to FALSE.

...

Additional arguments passed to and from functions.

Examples

if (FALSE) {
 test <- mplusObject(MODEL = "mpg ON wt hp;
 wt WITH hp;", rdata = mtcars)
 res <- mplusModeler(test, modelout = "model1.inp", run = 1L)
 get_results(res, "summaries")
 unlink(res$results$input$data$file)
 unlink("model1.inp")
 unlink("model1.out")
}
out <- get_input(res)
out <- get_warn_err(res)
out <- get_data_summary(res)
out <- get_sampstat(res)
out <- get_covariance_coverage(res)
out <- get_summaries(res)
out <- get_invariance_testing(res)
out <- get_parameters(res)
out <- get_class_counts(res)
out <- get_indirect(res)
out <- get_mod_indices(res)
out <- get_residuals(res)
out <- get_savedata(res)
out <- get_bparameters(res)
out <- get_tech1(res)
out <- get_tech3(res)
out <- get_tech4(res)
out <- get_tech7(res)
out <- get_tech8(res)
out <- get_tech9(res)
out <- get_tech10(res)
out <- get_tech12(res)
out <- get_tech15(res)
out <- get_fac_score_stats(res)
out <- get_lcCondMeans(res)
out <- get_gh5(res)