Nothing
context("svyatk output survey.design and svyrep.design")
skip_on_cran()
library(laeken)
library(survey)
data(api)
dstrat1 <- convey_prep(suppressWarnings(svydesign(id = ~ 1, data = apistrat)))
test_that("svyatk works on unweighted designs", {
svyatk( ~ api00, design = dstrat1)
})
data(eusilc)
names(eusilc) <- tolower(names(eusilc))
des_eusilc <-
svydesign(
ids = ~ rb030,
strata = ~ db040,
weights = ~ rb050,
data = eusilc
)
des_eusilc <- convey_prep(des_eusilc)
des_eusilc_rep_save <-
des_eusilc_rep <- as.svrepdesign(des_eusilc, type = "bootstrap")
des_eusilc_rep <- convey_prep(des_eusilc_rep)
des_eusilc <- subset(des_eusilc , eqincome > 0)
des_eusilc_rep <- subset(des_eusilc_rep , eqincome > 0)
a1 <- svyatk( ~ eqincome, design = des_eusilc)
a2 <-
svyby( ~ eqincome,
by = ~ hsize,
design = des_eusilc,
FUN = svyatk)
b1 <- svyatk( ~ eqincome, design = des_eusilc_rep)
b2 <-
svyby( ~ eqincome,
by = ~ hsize,
design = des_eusilc_rep,
FUN = svyatk)
cv_dif1 <- abs(cv(a1) - cv(b1))
cv_diff2 <- max(abs(cv(a2)[1:7] - cv(b2)[1:7]))
test_that("output svyatk", {
expect_is(coef(a1), "numeric")
expect_is(coef(a2), "numeric")
expect_is(coef(b1), "numeric")
expect_is(coef(b2), "numeric")
expect_equal(coef(a1), coef(b1))
expect_equal(coef(a2), coef(b2))
expect_lte(cv_dif1, coef(a1) * 0.05) # the difference between CVs should be less than 5% of the coefficient, otherwise manually set it
expect_lte(cv_diff2, max(coef(a2)) * 0.1) # the difference between CVs should be less than 10% of the maximum coefficient, otherwise manually set it
expect_is(SE(a1), "matrix")
expect_is(SE(a2), "numeric")
expect_is(SE(b1), "numeric")
expect_is(SE(b2), "numeric")
expect_lte(confint(a1)[1], coef(a1))
expect_gte(confint(a1)[2], coef(a1))
expect_lte(confint(b1)[, 1], coef(b1))
expect_gte(confint(b1)[2], coef(b1))
expect_equal(sum(confint(a2)[, 1] <= coef(a2)), length(coef(a2)))
expect_equal(sum(confint(a2)[, 2] >= coef(a2)), length(coef(a2)))
expect_equal(sum(confint(b2)[, 1] <= coef(b2)), length(coef(b2)))
expect_equal(sum(confint(b2)[, 2] >= coef(b2)), length(coef(b2)))
})
# database-backed design
library(RSQLite)
library(DBI)
dbfile <- tempfile()
conn <- dbConnect(RSQLite::SQLite() , dbfile)
dbWriteTable(conn , 'eusilc' , eusilc)
dbd_eusilc <-
svydesign(
ids = ~ rb030 ,
strata = ~ db040 ,
weights = ~ rb050 ,
data = "eusilc",
dbname = dbfile,
dbtype = "SQLite"
)
dbd_eusilc <- convey_prep(dbd_eusilc)
dbd_eusilc <- subset(dbd_eusilc , eqincome > 0)
c1 <- svyatk(~ eqincome , design = dbd_eusilc)
c2 <-
svyby( ~ eqincome,
by = ~ hsize,
design = dbd_eusilc,
FUN = svyatk)
dbRemoveTable(conn , 'eusilc')
dbDisconnect(conn)
test_that("database svyatk", {
expect_equal(coef(a1), coef(c1))
expect_equal(coef(a2), coef(c2))
expect_equal(SE(a1), SE(c1))
expect_equal(SE(a2), SE(c2))
})
# compare subsetted objects to svyby objects
sub_des <-
svyatk(~ eqincome , design = subset(des_eusilc , hsize == 1))
sby_des <-
svyby(~ eqincome,
by = ~ hsize,
design = des_eusilc,
FUN = svyatk)
sub_rep <-
svyatk(~ eqincome , design = subset(des_eusilc_rep , hsize == 1))
sby_rep <-
svyby(~ eqincome,
by = ~ hsize,
design = des_eusilc_rep,
FUN = svyatk)
test_that("subsets equal svyby", {
expect_equal(as.numeric(coef(sub_des)), as.numeric(coef(sby_des))[1])
expect_equal(as.numeric(coef(sub_rep)), as.numeric(coef(sby_rep))[1])
expect_equal(as.numeric(SE(sub_des)), as.numeric(SE(sby_des))[1])
expect_equal(as.numeric(SE(sub_rep)), as.numeric(SE(sby_rep))[1])
# coefficients should match across svydesign & svrepdesign
expect_equal(as.numeric(coef(sub_des)), as.numeric(coef(sby_rep))[1])
# coefficients of variation should be within five percent
cv_dif <- abs(cv(sub_des) - cv(sby_rep)[1])
expect_lte(cv_dif, 5)
})
# second run of database-backed designs #
# database-backed design
library(RSQLite)
library(DBI)
dbfile <- tempfile()
conn <- dbConnect(RSQLite::SQLite() , dbfile)
dbWriteTable(conn , 'eusilc' , eusilc)
dbd_eusilc <-
svydesign(
ids = ~ rb030 ,
strata = ~ db040 ,
weights = ~ rb050 ,
data = "eusilc",
dbname = dbfile,
dbtype = "SQLite"
)
dbd_eusilc <- convey_prep(dbd_eusilc)
dbd_eusilc <- subset(dbd_eusilc , eqincome > 0)
# create a hacky database-backed svrepdesign object
# mirroring des_eusilc_rep_save
dbd_eusilc_rep <-
svrepdesign(
weights = ~ rb050,
repweights = des_eusilc_rep_save$repweights ,
scale = des_eusilc_rep_save$scale ,
rscales = des_eusilc_rep_save$rscales ,
type = "bootstrap" ,
data = "eusilc" ,
dbtype = "SQLite" ,
dbname = dbfile ,
combined.weights = FALSE
)
dbd_eusilc_rep <- convey_prep(dbd_eusilc_rep)
dbd_eusilc_rep <- subset(dbd_eusilc_rep , eqincome > 0)
sub_dbd <-
svyatk(~ eqincome , design = subset(dbd_eusilc , hsize == 1))
sby_dbd <-
svyby(~ eqincome,
by = ~ hsize,
design = dbd_eusilc,
FUN = svyatk)
sub_dbr <-
svyatk(~ eqincome , design = subset(dbd_eusilc_rep , hsize == 1))
sby_dbr <-
svyby(~ eqincome,
by = ~ hsize,
design = dbd_eusilc_rep,
FUN = svyatk)
dbRemoveTable(conn , 'eusilc')
dbDisconnect(conn)
# compare database-backed designs to non-database-backed designs
test_that("dbi subsets equal non-dbi subsets", {
expect_equal(coef(sub_des), coef(sub_dbd))
expect_equal(coef(sub_rep), coef(sub_dbr))
expect_equal(SE(sub_des), SE(sub_dbd))
expect_equal(SE(sub_rep), SE(sub_dbr))
})
# compare database-backed subsetted objects to database-backed svyby objects
test_that("dbi subsets equal dbi svyby", {
expect_equal(as.numeric(coef(sub_dbd)), as.numeric(coef(sby_dbd))[1])
expect_equal(as.numeric(coef(sub_dbr)), as.numeric(coef(sby_dbr))[1])
expect_equal(as.numeric(SE(sub_dbd)), as.numeric(SE(sby_dbd))[1])
expect_equal(as.numeric(SE(sub_dbr)), as.numeric(SE(sby_dbr))[1])
})
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