context("svygei output survey.design and svyrep.design")

skip_on_cran()

library(laeken)
library(survey)


data(api)
dstrat1 <- convey_prep(svydesign(id =  ~ 1, data = apistrat))
test_that("svygei works on unweighted designs", {
  svygei(~ 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 <- svygei(~ eqincome, design = des_eusilc)
a2 <-
  svyby(~ eqincome,
        by = ~ hsize,
        design = des_eusilc,
        FUN = svygei)

b1 <- svygei(~ eqincome, design = des_eusilc_rep)

b2 <-
  svyby(~ eqincome,
        by = ~ hsize,
        design = des_eusilc_rep,
        FUN = svygei)

se_dif1 <- abs(SE(a1) - SE(b1))
se_diff2 <- max(abs(SE(a2) - SE(b2)))

test_that("output svygei", {
  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(se_dif1, coef(a1) * 0.05) # the difference between CVs should be less than 5% of the coefficient, otherwise manually set it
  expect_lte(se_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 <- svygei( ~ eqincome , design = dbd_eusilc)
c2 <-
  svyby(~ eqincome,
        by = ~ hsize,
        design = dbd_eusilc,
        FUN = svygei)

dbRemoveTable(conn , 'eusilc')
dbDisconnect(conn)

test_that("database svygei", {
  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 <-
  svygei( ~ eqincome , design = subset(des_eusilc , hsize == 1))
sby_des <-
  svyby( ~ eqincome,
         by = ~ hsize,
         design = des_eusilc,
         FUN = svygei)
sub_rep <-
  svygei( ~ eqincome , design = subset(des_eusilc_rep , hsize == 1))
sby_rep <-
  svyby( ~ eqincome,
         by = ~ hsize,
         design = des_eusilc_rep,
         FUN = svygei)

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 <-
  svygei( ~ eqincome , design = subset(dbd_eusilc , hsize == 1))
sby_dbd <-
  svyby( ~ eqincome,
         by = ~ hsize,
         design = dbd_eusilc,
         FUN = svygei)
sub_dbr <-
  svygei( ~ eqincome , design = subset(dbd_eusilc_rep , hsize == 1))
sby_dbr <-
  svyby( ~ eqincome,
         by = ~ hsize,
         design = dbd_eusilc_rep,
         FUN = svygei)

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])
})