aMNLFA.object: aMNLFA object function

In vtcole/aMNLFA: Automated Moderated Nonlinear Factor Analysis Using 'Mplus'

Description

This function creates an aMNLFA object based on user specifications to pass to aMNLFA functions.

Usage

aMNLFA.object(
  dir,
  mrdata,
  indicators = NULL,
  catindicators = NULL,
  countindicators = NULL,
  meanimpact = NULL,
  varimpact = NULL,
  measinvar = NULL,
  factors = NULL,
  time = NULL,
  auxiliary = NULL,
  ID = NULL,
  thresholds = NULL
)

Arguments

dir	The directory in which data, inputs, and outputs are to be stored. Must be supplied.
mrdata	The R dataframe containing the multiple-record dataset. Must be supplied.
indicators	The names of all indicators (items, observed variables) in the MNLFA.
catindicators	The list of indicators which are categorical. Defaults to NULL.
countindicators	The list of indicators which are count. Defaults to NULL.
meanimpact	The list of covariates (predictors) which may generate impact on the latent variable mean. Defaults to NULL.
varimpact	The list of covariates (predictors) which may generate impact on the latent variable variance. Defaults to NULL.
measinvar	The list of covariates (predictors) which may generate DIF. Defaults to NULL.
factors	The list of covariates which are categorical. Defaults to NULL.
time	The variable which indexes time (or multiple records within a single case). If left blank, assumes single-record data. Defaults to NULL.
auxiliary	The list of variables to be considered as auxiliary (i.e., retained in the dataset but not used in the analysis). Defaults to NULL.
ID	The variable which identifies cases. Defaults to NULL.
thresholds	A Boolean operator indicating whether to test for threshold DIF.

Examples

 wd <- tempdir()
 first<-paste0(system.file(package='aMNLFA'),"/examplefiles")
 the.list <- list.files(first,full.names=TRUE)
 file.copy(the.list,wd,overwrite=TRUE)
 
 ob <- aMNLFA::aMNLFA.object(dir = wd, 
 mrdata = xstudy, 
 indicators = paste0("BIN_", 1:12),
 catindicators = paste0("BIN_", 1:12), 
 meanimpact = c("AGE", "GENDER", "STUDY"), 
 varimpact = c("AGE", "GENDER", "STUDY"), 
 measinvar = c("AGE", "GENDER", "STUDY"),
 factors = c("GENDER", "STUDY"),
 ID = "ID",
 thresholds = FALSE)
 

vtcole/aMNLFA documentation built on Nov. 7, 2021, 6:11 p.m.