## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 7, fig.height = 4.5, fig.align = "center" ) ## ----setup-pkg---------------------------------------------------------------- library(mlmoderator) library(lme4) data(school_data) ## ----centering---------------------------------------------------------------- dat <- mlm_center(school_data, vars = "ses", cluster = "school", type = "group") # within-school SES dat <- mlm_center(dat, vars = "climate", type = "grand") # grand-mean-centred climate # Check cat("Within-school SES mean (should be ~0):", round(mean(dat$ses_c), 4), "\n") cat("Grand-mean climate (should be ~0):", round(mean(dat$climate_c), 4), "\n") ## ----fit---------------------------------------------------------------------- mod <- lmer( math ~ ses_c * climate_c + gender + (1 + ses_c | school), data = dat, REML = TRUE ) summary(mod) ## ----probe-------------------------------------------------------------------- probe <- mlm_probe(mod, pred = "ses_c", modx = "climate_c", modx.values = "mean-sd", conf.level = 0.95) probe ## ----jn----------------------------------------------------------------------- jn <- mlm_jn(mod, pred = "ses_c", modx = "climate_c") jn ## ----plot--------------------------------------------------------------------- mlm_plot( mod, pred = "ses_c", modx = "climate_c", modx.values = "mean-sd", interval = TRUE, x_label = "Student SES (group-mean centred)", y_label = "Mathematics Achievement", legend_title = "School Climate" ) ## ----summary------------------------------------------------------------------ mlm_summary(mod, pred = "ses_c", modx = "climate_c", modx.values = "mean-sd", jn = TRUE)