Extract Mplus results

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, ...)

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.

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.

Examples

if (FALSE) { # \dontrun{
 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)