# Generate Ordinal and Binary data Generate Multivariate Ordinal and Binary data. ```r gen_ordinal(n, p, levels = 2, cor_mat, empirical = FALSE) ``` ## Arguments - `n`: Number of observations (**n**). - `p`: Number of variables (**p**). - `levels`: Number of categories (defaults to 2; binary data). - `cor_mat`: A **p** by **p** matrix including the true correlation structure. - `empirical`: Logical. If true, `cor_mat` specifies the empirical not population covariance matrix. ## Returns A **n** by **p** data matrix. ## Note In order to allow users to enjoy the functionality of BGGM , we had to make minor changes to the function `rmvord_naiv` from the `R` package orddata \insertCite orddataBGGM. All rights to, and credit for, the function `rmvord_naiv` belong to the authors of that package. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. A copy of the GNU General Public License is available online. ## Examples ```r ################################ ######### example 1 ############ ################################ main <- ptsd_cor1[1:5,1:5] p <- ncol(main) pcors <- -(cov2cor(solve(main)) -diag(p)) diag(pcors) <- 1 pcors <- ifelse(abs(pcors) < 0.05, 0, pcors) inv <- -pcors diag(inv) <- 1 cors <- cov2cor( solve(inv)) # example data Y <- BGGM::gen_ordinal(n = 500, p = 5, levels = 2, cor_mat = cors, empirical = FALSE) ################################ ######### example 2 ############ ################################ # empirical = TRUE Y <- gen_ordinal(n = 500, p = 16, levels = 5, cor_mat = ptsd_cor1, empirical = TRUE) ``` ## References \insertAllCited

gen_ordinal function