mxsem (version 0.1.0)

get_individual_algebra_results: get_individual_algebra_results

Description

evaluates algebras for each subject in the data set. This function is useful if you have algebras with definition variables (e.g., in mnlfa).

Usage

get_individual_algebra_results(
  mxModel,
  algebra_names = NULL,
  progress_bar = TRUE
)

Value

a list of data frames. The list contains data frames for each of the algebras. The data frames contain the individual specific algebra results as well as all definition variables used to predict said algebra

Arguments

mxModel

mxModel with algebras

algebra_names

optional: Only compute individual algebras for a subset of the parameters

progress_bar

should a progress bar be shown?

Examples

library(mxsem)

set.seed(123)
dataset <- simulate_moderated_nonlinear_factor_analysis(N = 50)

model <- "
  xi  =~ x1 + x2 + x3
  eta =~ y1 + y2 + y3
  eta ~  {a := a0 + data.k*a1}*xi
  "
fit <- mxsem(model = model,
             data = dataset) |>
  mxTryHard()

algebra_results <- get_individual_algebra_results(mxModel = fit,
                                                  progress_bar = FALSE)

# the following plot will only show two data points because there is only
# two values for the definition variable k (0 or 1).

plot(x = algebra_results[["a"]]$k,
     y = algebra_results[["a"]]$algebra_result)