Function to generate artificial data from a structural equation model
simdata( paths = list(3:4, 4:5), blocks = list(1:3, 4:7, 8:10, 11:16, 17:21), sigma2 = runif(Nv, 0.1, 0.9), exogenous = list(1:2), beta = list(c(1, -0.5), c(-1, 0.5)), gamma0 = list(c(1.5)), gamma = list(c(0.5, -1)), tau2 = list(c(0.49)), Nv = 21, Ne = 30, Nna = 0, save = FALSE, name = "dt" )
Arguments
| paths | list referring to the inner model paths; a list of integers referring to the scores relationship; the jth first latent variable are explained |
|---|---|
| blocks | list of integers in 1:ncol(data) indicating the manisfest variables corresponding to each block |
| sigma2 | outer model error variances |
| exogenous, | minimum color range (might cause blank spots if misspecified) |
| beta | inner paths regression coefficients |
| gamma0 | inner exogenous intercept |
| gamma | inner exogenous regression coefficients |
| tau2 | inner exogenous error variance |
| Nv | number of endogenous variables in the database (default = 21) |
| Ne | number of sample elements in the database (default = 30) |
| Nna | number of missing observations in each database (default = 0) |
| save | logical (default = FALSE); whether to save in the local filepath |
| name | rdata name used if save = TRUE |
