R Under development (unstable) (2024-01-12 r85803 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> suppressPackageStartupMessages(library("survey"))
> library("robsurvey", quietly = TRUE)
> source("check_functions.R")
> 
> #===============================================================================
> # workplace data
> #===============================================================================
> dataset <- "workplace"
> dn <- svydesign(ids = ~ID, strata = ~strat, fpc = ~fpc, weights = ~weight,
+     data = workplace)
> TOT_employment <- 1001233
> 
> #--------------------------------------
> # ratio estimator (Huber)
> ref <- svyratio(~payroll, ~employment, dn)
> est <- svyratio_huber(~payroll, ~employment, dn, k = Inf)
> check(ref, est, dataset, "svyratio_huber")
> 
> # ratio estimator of the total (with "hajek" variance estimator)
> ref_tot <- predict(ref, TOT_employment)
> est_tot <- svytotal_ratio(est, TOT_employment, variance = "hajek")
> all_equal(as.numeric(ref_tot$total), coef(est_tot),
+     paste0(dataset, ": svyratio_huber: svytotal_ratio: coef"))
> all_equal(as.numeric(ref_tot$se), SE(est_tot),
+     paste0(dataset, ": svyratio_huber: svytotal_ratio: SE"))
> 
> # ratio estimator using svyreg_huberM (with "hajek" variance estimator)
> est_reg <- svyreg_huberM(payroll ~ -1 + employment, dn, var = ~employment,
+     k = Inf)
> check(ref, est_reg, dataset, "svyreg_huberM")
> 
> # ratio estimator of the total using svyreg_huberM
> est_reg_tot <- svytotal_reg(est_reg, TOT_employment, type = "projective")
> est_rat_tot <- svytotal_ratio(est, TOT_employment, variance = "hajek")
> check(est_reg_tot, est_rat_tot, dataset, "svyreg_huberM: svytotal_reg")
> 
> #--------------------------------------
> # ratio estimator (Tukey)
> ref <- svyratio(~payroll, ~employment, dn)
> est <- svyratio_tukey(~payroll, ~employment, dn, k = Inf)
> check(est, ref, dataset, "svyratio_tukey")
> 
> # ratio estimator of the total (with "hajek* variance estimator)
> ref_tot <- predict(ref, TOT_employment)
> est_tot <- svytotal_ratio(est, TOT_employment, variance = "hajek")
> all_equal(as.numeric(ref_tot$total), coef(est_tot),
+     paste0(dataset, ": svyratio_tukey: svytotal_ratio: coef"))
> all_equal(as.numeric(ref_tot$se), SE(est_tot),
+     paste0(dataset, ": svyratio_tukey: svytotal_ratio: SE"))
> 
> # ratio estimator using svyreg_tukeyM (with "hajek" variance estimator)
> est_reg <- svyreg_tukeyM(payroll ~ -1 + employment, dn, var = ~employment,
+     k = Inf)
> check(est, est_reg, dataset, "svyreg_tukeyM")
> 
> # ratio estimator of the total using svyreg_tukeyM
> est_reg_tot <- svytotal_reg(est_reg, TOT_employment, type = "projective")
> est_rat_tot <- svytotal_ratio(est, TOT_employment, variance = "hajek")
> check(est_reg_tot, est_rat_tot, dataset, "svyreg_tukeyM: svytotal_reg")
> 
> #===============================================================================
> # MU284strat data
> #===============================================================================
> dataset <- "MU284strat"
> dn <- svydesign(ids = ~LABEL, strata = ~Stratum, fpc = ~fpc,
+          weights = ~weights, data = MU284strat)
> TOT_P85 <- 8339
> 
> #--------------------------------------
> # ratio estimator (Huber)
> ref <- svyratio(~RMT85, ~P85, dn)
> est <- svyratio_huber(~RMT85, ~P85, dn, k = Inf)
> check(est, ref, dataset, "svyratio_huber")
> 
> # ratio estimator of the total (with "hajek" variance estimator)
> ref_tot <- predict(ref, TOT_P85)
> est_tot <- svytotal_ratio(est, TOT_P85, variance = "hajek")
> all_equal(as.numeric(ref_tot$total), coef(est_tot),
+     paste0(dataset, ": svyratio_huber: svytotal_ratio: coef"))
> all_equal(as.numeric(ref_tot$se), SE(est_tot),
+     paste0(dataset, ": svyratio_huber: svytotal_ratio: SE"))
> 
> # ratio estimator using svyreg_huberM (with "hajek" variance estimator)
> est_reg <- svyreg_huberM(RMT85~ -1 + P85, dn, var = ~P85, k = Inf)
> check(est, est_reg, dataset, "svyreg_huberM")
> 
> # ratio estimator of the total using svyreg_huberM
> est_reg_tot <- svytotal_reg(est_reg, TOT_P85, type = "projective")
> est_rat_tot <- svytotal_ratio(est, TOT_P85, variance = "hajek")
> check(est_reg_tot, est_rat_tot, dataset, "svyreg_huberM: svytotal_reg")
> 
> #--------------------------------------
> # ratio estimator (Tukey)
> ref <- svyratio(~RMT85, ~P85, dn)
> est <- svyratio_tukey(~RMT85, ~P85, dn, k = Inf)
> check(est, ref, dataset, "svyratio_tukey")
> 
> # ratio estimator of the total (with "hajek" variance estimator)
> ref_tot <- predict(ref, TOT_P85)
> est_tot <- svytotal_ratio(est, TOT_P85, variance = "hajek")
> all_equal(as.numeric(ref_tot$total), coef(est_tot),
+     paste0(dataset, ": svyratio_tukey: svytotal_ratio: coef"))
> all_equal(as.numeric(ref_tot$se), SE(est_tot),
+     paste0(dataset, ": svyratio_tukey: svytotal_ratio: SE"))
> 
> # ratio estimator using svyreg_tukeyM (with "hajek" variance estimator)
> est_reg <- svyreg_tukeyM(RMT85~ -1 + P85, dn, var = ~P85, k = Inf)
> check(est, est_reg, dataset, "svyreg_tukeyM")
> 
> # ratio estimator of the total using svyreg_tukeyM
> est_reg_tot <- svytotal_reg(est_reg, TOT_P85, type = "projective")
> est_rat_tot <- svytotal_ratio(est, TOT_P85, variance = "hajek")
> check(est_reg_tot, est_rat_tot, dataset, "svyreg_tukeyM: svytotal_reg")
> 
> proc.time()
   user  system elapsed 
   1.42    0.12    1.53