## ----include = FALSE---------------------------------------------------------- # knitr::opts_chunk$set( # collapse = TRUE, # comment = "#>" # ) ## ----echo=FALSE--------------------------------------------------------------- library(ILSAstats) ## ----------------------------------------------------------------------------- RW <- repcreate(df = repdata, wt = "wt", jkzone = "jkzones", jkrep = "jkrep", method = "LANA") ## ----------------------------------------------------------------------------- # No groups STNG <- repsetup(repwt = RW, wt = "wt", df = repdata, method = "LANA") # With groups STGR <- repsetup(repwt = RW, wt = "wt", df = repdata, method = "LANA", group = "GROUP") # With groups and exclusions STGE <- repsetup(repwt = RW, wt = "wt", df = repdata, method = "LANA", group = "GROUP", exclude = "GR2") ## ----------------------------------------------------------------------------- # No groups repmean(x = "SES", setup = STNG) # With groups repmean(x = "SES", setup = STGR) # With groups and exclusions repmean(x = "SES", setup = STGE) ## ----------------------------------------------------------------------------- # No groups repmean(x = c("SES","Math1"), setup = STNG) # With groups repmean(x = c("SES","Math1"), setup = STGR) ## ----------------------------------------------------------------------------- # No groups repmean(x = paste0("Math",1:5), PV = TRUE, setup = STNG) # With groups repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR) ## ----------------------------------------------------------------------------- # Default repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR) # Only pooled repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = "pooled") # Only composite repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = "composite") # No aggregates repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = NULL) ## ----------------------------------------------------------------------------- repmean(x = paste0("Math",1:5), PV = TRUE, setup = STNG,by = "GENDER") ## ----------------------------------------------------------------------------- repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = NULL, by = "GENDER") ## ----------------------------------------------------------------------------- m1 <- repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = NULL, by = NULL) m2 <- repmean(x = paste0("Math",1:5), PV = TRUE, setup = STGR, aggregates = NULL, by = "GENDER") ## ----------------------------------------------------------------------------- repmeandif(m1) repmeandif(m2) ## ----------------------------------------------------------------------------- repmeanCI(m1, alpha = 0.05) repmeanCI(m2, alpha = 0.05) ## ----------------------------------------------------------------------------- repmeanCI(m1, alpha = 0.05, add = FALSE)