## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 6, fig.height = 4, fig.align = "center" ) ## ----setup-------------------------------------------------------------------- library(stdmod) # For computing the standardized moderation effect conveniently library(lavaan) # For doing path analysis in lavaan. ## ----load_dataset------------------------------------------------------------- data(test_mod1) round(head(test_mod1, 3), 3) ## ----mod_sem------------------------------------------------------------------ mod <- " med ~ iv + mod + iv:mod + cov1 dv ~ med + cov2 " fit <- sem(mod, test_mod1, fixed.x = FALSE) summary(fit) ## ----------------------------------------------------------------------------- standardizedSolution(fit)[3, ] ## ----------------------------------------------------------------------------- fit_iv_mod_std <- stdmod_lavaan(fit = fit, x = "iv", y = "med", w = "mod", x_w = "iv:mod") fit_iv_mod_std ## ----echo = FALSE------------------------------------------------------------- if (file.exists("egl_lavaan_boot.rds")) { fit <- readRDS("egl_lavaan_boot.rds") } else { fit <- sem(mod, test_mod1, fixed.x = FALSE, se = "boot", bootstrap = 2000, iseed = 987543) saveRDS(fit, "egl_lavaan_boot.rds") } ## ----eval = FALSE------------------------------------------------------------- # fit <- sem(mod, test_mod1, fixed.x = FALSE, # se = "boot", # bootstrap = 2000, # iseed = 987543) ## ----------------------------------------------------------------------------- fit_iv_mod_std_ci <- stdmod_lavaan(fit = fit, x = "iv", y = "med", w = "mod", x_w = "iv:mod", boot_ci = TRUE) fit_iv_mod_std_ci