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Write Population lavaan Syntax for Unidimensional Dyadic CFA

Source: R/scriptPopUni.R
scriptPopUni.Rd

Produces lavaan syntax with fixed numeric values for data generation in Monte Carlo simulations. Used with lavaan::simulateData().

Usage

scriptPopUni(dvn, lvname = "X", pop_values, lvar = "X")

Arguments

dvn

Input dvn list from build_dvn() or scrapeVarCross()

lvname

Character name for the latent variable

pop_values

Named list of population parameter values:

  • loadings: numeric vector of loadings (length = n_items)

  • residuals: numeric vector of residual variances (length = n_items)

  • coresids: numeric vector of residual covariances (length = n_items)

  • intercepts: optional; numeric vector (default 0 for all)

  • lv_var: latent variance (default 1)

  • lv_mean: latent mean (default 0)

lvar

Character "X" or "Y". Default "X".

Value

Character string of lavaan syntax

See also

Other population-scripting functions: scriptPopCor()

Examples

dvn <- dySEM::build_dvn(n_items_x = 3, x_stem = "x", x_delim1 = "", x_delim2 = "_",
  distinguish_1 = "A", distinguish_2 = "B")
scriptPopUni(dvn, "X", list(
  loadings = c(.75, .80, .55),
  residuals = c(.44, .36, .70),
  coresids = c(.10, .12, .08)
))
#> [1] "# Unidimensional Dyadic CFA - Population Model\n\n# Loadings\nXDy =~ 0.75*x1_A + 0.8*x2_A + 0.55*x3_A + 0.75*x1_B + 0.8*x2_B + 0.55*x3_B\n\n# Intercepts\nx1_A ~ 0*1\nx2_A ~ 0*1\nx3_A ~ 0*1\nx1_B ~ 0*1\nx2_B ~ 0*1\nx3_B ~ 0*1\n\n# Residual Variances\nx1_A ~~ 0.44*x1_A\nx2_A ~~ 0.36*x2_A\nx3_A ~~ 0.7*x3_A\nx1_B ~~ 0.44*x1_B\nx2_B ~~ 0.36*x2_B\nx3_B ~~ 0.7*x3_B\n\n# Residual Covariances\nx1_A ~~ 0.1*x1_B\nx2_A ~~ 0.12*x2_B\nx3_A ~~ 0.08*x3_B\n\n# Latent Variance\nXDy ~~ 1*XDy\n\n# Latent Mean\nXDy ~ 0*1"