R/sim.dynEGA.R

In hfgolino/EGA: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics

#' sim.dynEGA Data
#'
#' A simulated (multivariate time series) data with 24 variables,
#' 100 individual observations, 50 time points per individual and 
#' 2 groups of individuals
#' 
#' Data were generated using the \code{\link[EGAnet]{simDFM}} function
#' with the following arguments:
#' 
#' \strong{Group 1}
#' 
#' \code{simDFM(
#'  variab = 12, timep = 50,
#'  nfact = 2, error = 0.125,
#'  dfm = "DAFS", 
#'  loadings = EGAnet:::runif_xoshiro(
#'    1, min = 0.50, max = 0.70
#'  ), autoreg = 0.80, crossreg = 0.00,
#'  var.shock = 0.36, cov.shock = 0.18
#' )}
#' 
#' \strong{Group 2}
#' 
#' \code{simDFM(
#'  variab = 8, timep = 50,
#'  nfact = 3, error = 0.125,
#'  dfm = "DAFS", 
#'  loadings = EGAnet:::runif_xoshiro(
#'    1, min = 0.50, max = 0.70
#'  ), autoreg = 0.80, crossreg = 0.00,
#'  var.shock = 0.36, cov.shock = 0.18
#' )}
#'
#' @name sim.dynEGA
#'
#' @docType data
#'
#' @usage data(sim.dynEGA)
#'
#' @format A 5000 x 26 multivariate time series
#'
#' @keywords datasets
#'
#' @examples
#' data("sim.dynEGA")
#'
NULL
# Updated 31.10.2023