R/test_models_doc.R

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

#' Four test models used in Grieder and Steiner (2020)
#'
#' Correlation matrices created from simulated data from four of the
#' \code{\link{population_models}} cases, each with strong factor intercorrelations.
#' These are used in Grieder & Steiner (2020) to compare the psych and SPSS
#' implementations in this package with the actual implementations of the programs.
#' For details on the cases, see \code{\link{population_models}}.
#'
#' @format A list of 4 lists "baseline", "case_1a", "case_6b", and"case_11b", each with the following elements.
#' \describe{
#'   \item{cormat}{(matrix) - The correlation matrix of the simulated data.}
#'   \item{n_factors}{(numeric) - The true number of factors.}
#'   \item{N}{(numeric) - The sample size of the generated data.}
#'  }
#' @source Grieder, S., & Steiner, M.D. (2020). Algorithmic Jingle Jungle:
#' A Comparison of Implementations of Principal Axis Factoring and Promax Rotation
#'  in R and SPSS. Manuscript in Preparation.
"test_models"