semljgui: SEM for jamovi

In semlj/semlj: SEM

SEM for jamovi

Description

Path Analysis

Usage

semljgui(
  data,
  endogenous = NULL,
  factors = NULL,
  covs = NULL,
  multigroup = NULL,
  se = "standard",
  r2ci = "fisher",
  r2test = FALSE,
  bootci = "perc",
  ci = TRUE,
  ciWidth = 95,
  bootN = 1000,
  showintercepts = TRUE,
  intercepts = TRUE,
  indirect = FALSE,
  contrasts = NULL,
  showContrastCode = FALSE,
  scaling = NULL,
  endogenousTerms = list(list()),
  diagram = FALSE,
  diag_paths = "est",
  diag_resid = FALSE,
  diag_labsize = "medium",
  diag_rotate = "1",
  diag_type = "circle",
  diag_shape = "rectangle",
  diag_abbrev = "0",
  varcov,
  cov_y = TRUE,
  cov_x = TRUE,
  constraints = list(),
  syntax,
  code,
  constraints_examples = FALSE,
  showlabels = FALSE,
  scoretest = TRUE,
  cumscoretest = FALSE,
  estimator = "ML",
  likelihood = "normal",
  formula
)

Arguments

data	the data as a data frame
endogenous	a vector of strings naming the mediators from data
factors	a vector of strings naming the fixed factors from data
covs	a vector of strings naming the covariates from data
multigroup	factor defining groups for multigroup analysis
se	.
r2ci	Choose the confidence interval type
r2test	.
bootci	Choose the confidence interval type
ci	.
ciWidth	a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the parameter estimates
bootN	number of bootstrap samples for estimating confidence intervals
showintercepts	TRUE or FALSE (default), show intercepts
intercepts	TRUE or FALSE (default), show intercepts
indirect	TRUE or FALSE (default), show intercepts
contrasts	a list of lists specifying the factor and type of contrast to use, one of 'deviation', 'simple', 'difference', 'helmert', 'repeated' or 'polynomial'
showContrastCode	TRUE or FALSE (default), provide contrast coefficients tables
scaling	a named vector of the form c(var1='type', var2='type2') specifying the transformation to apply to covariates, one of 'centered' to the mean, 'standardized','log' or 'none'. 'none' leaves the variable as it is.
endogenousTerms	a list of lists specifying the models for with the mediators as dependent variables.
diagram	TRUE or FALSE (default), produce a path diagram
diag_paths	Choose the diagram labels
diag_resid	TRUE or FALSE (default), produce a path diagram
diag_labsize	Choose the diagram labels
diag_rotate	Choose the diagram labels
diag_type	Choose the diagram labels
diag_shape	Choose the diagram labels
diag_abbrev	Choose the diagram labels
varcov	a list of lists specifying the covariances that need to be estimated
cov_y	TRUE or FALSE (default), produce a path diagram
cov_x	TRUE or FALSE (default), produce a path diagram
constraints	a list of lists specifying the models random effects.
syntax	.
code	.
constraints_examples	.
showlabels	.
scoretest	.
cumscoretest	.
estimator	Choose the diagram labels
likelihood	Choose the diagram labels
formula	(optional) the formula to use, see the examples

Value

A results object containing:

results$model					The underlying lavaan object
results$info					a table
results$fit$main					a table
results$fit$constraints					a table
results$fit$indices					a table
results$models$r2					a table
results$models$coefficients					a table
results$models$correlations					a table
results$models$intercepts					a table
results$models$defined					a table
results$models$contrastCodeTable					a table
results$pathgroup$diagrams					an array of path diagrams
results$pathgroup$notes					a table
results$contraintsnotes					a table

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$info$asDF

as.data.frame(results$info)

semlj/semlj documentation built on June 1, 2025, 4:11 p.m.