context("Rmpg output")
skip_on_cran()
library(laeken)
library(survey)
library(vardpoor)
data(eusilc)
names(eusilc) <- tolower(names(eusilc))
dati = data.frame(IDd = seq(10000 , 10000 + nrow(eusilc) - 1) , eusilc)
SE_lin2 <- function(t, des) {
variance <-
survey::svyrecvar(t / des$prob,
des$cluster,
des$strata,
des$fpc,
postStrata = des$postStrata)
sqrt(variance)
}
des_eusilc <-
svydesign(
ids = ~ rb030,
strata = ~ db040,
weights = ~ rb050,
data = eusilc
)
des_eusilc <- convey_prep(des_eusilc)
vardpoor_linrmpgw <-
linrmpg(
Y = "eqincome",
id = "IDd",
weight = "rb050",
Dom = NULL,
dataset = dati,
percentage = 60,
order_quant = 50L
)
vardest <- vardpoor_linrmpgw$value
attributes(vardest) <- NULL
vardest <- unlist(vardest)
varse <- SE_lin2(vardpoor_linrmpgw$lin$lin_rmpg, des_eusilc)
attributes(varse) <- NULL
fun_svyrmpgw <- svyrmpg( ~ eqincome, design = des_eusilc, 0.5, 0.6)
convest <- coef(fun_svyrmpgw)
attributes(convest) <- NULL
convse <- SE(fun_svyrmpgw)
attributes(convse) <- NULL
#domain
vardpoor_rmpgd <-
linrmpg(
Y = "eqincome",
id = "IDd",
weight = "rb050",
Dom = c("hsize"),
dataset = dati
)
# point estimates
vardestd <- unlist(vardpoor_rmpgd$value$rmpg)
# se estimates
varsed <-
sapply(data.frame(vardpoor_rmpgd$lin)[, 2:10], function(t)
SE_lin2(t, des_eusilc))
attributes (varsed) <- NULL
# library convey
fun_rmpgd <-
svyby(
~ eqincome,
by = ~ hsize,
design = subset(des_eusilc, hsize < 8),
FUN = svyrmpg,
deff = FALSE
)
convestd <- coef(fun_rmpgd)
attributes(convestd) <- NULL
convsed <- SE(fun_rmpgd)
test_that("compare results convey vs vardpoor", {
expect_equal(vardest, 100 * convest)
expect_equal(varse, 100 * convse)
expect_equal(vardestd[1:7], 100 * convestd)
expect_equal(vardestd[8:9], as.numeric(c(NA, NA)))
expect_equal(varsed[8:9], c(0, 0))
skip('different arpr se')
expect_equal(varsed[1:7], 100 * convsed)
})
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