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# the Galapagos census was downloaded from
# https://redatam.org/cdr/descargas/censos/poblacion/CP2011URY.zip
# I agregated the data to test the code
# read DICX
# when converting the original DIC to DICX in REDATAM 7:
# 1. it doesn't include all the labels
# 2. it adds MISSING and NOTAPPLICABLE to the labels
# 3. it creates problems with lower and upper case (e.g., CG150001.ptr and
# cg150001.ptr)
test_that("reading works", {
zip <- system.file("extdata", "uru2011mini.zip", package = "redatam")
dout <- paste(tempdir(), "uru2011mini", sep = "/")
if (file.exists(dout)) {
unlink(dout, recursive = T)
}
# unzip the file
if (!file.exists(dout)) {
unzip(zip, exdir = dout)
}
# find the dictionary
dic <- list.files(dout, pattern = "\\.dic$", full.names = TRUE,
recursive = TRUE)
dicx <- list.files(dout, pattern = "\\.dicx$", full.names = TRUE,
recursive = TRUE)
# read DIC
res <- read_redatam(dic)
expect_type(res, "list")
expect_equal(length(res), 3L)
d <- res$sexo
expect_true(is.data.frame(d))
expect_true(is.factor(d$sexo))
expect_equal(dim(d), c(38L,4L))
daux <- res$sexo_labels_cuenta
expect_true(is.factor(daux$cuenta_description))
expect_equal(dim(daux), c(2L,2L))
# read DICX
res2 <- read_redatam(dicx)
expect_type(res2, "list")
expect_equal(length(res2), 2L)
d2 <- res2$sexo
expect_true(is.data.frame(d2))
expect_equal(dim(d2), c(38L,4L))
# copy .dic to .DIC
file.copy(dic, gsub("mini\\.dic$", "mini2.DIC", dic), overwrite = TRUE)
res3 <- read_redatam(gsub("mini\\.dic$", "mini2.DIC", dic))
expect_type(res3, "list")
})
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