Nothing
test_that("init.csv missing column throws error",
{
init_filepath <- system.file("extdata/errors", "init_3columns.csv",
package = "undidR")
init_df <- read.csv(init_filepath, header = TRUE, sep = ",",
stringsAsFactors = FALSE)
expect_error(.init_checks(init_df))
}
)
test_that("init.csv improperly named column throws error",
{
init_filepath <- system.file("extdata/errors", "init_badnames.csv",
package = "undidR")
init_df <- read.csv(init_filepath, header = TRUE, sep = ",",
stringsAsFactors = FALSE)
expect_error(.init_checks(init_df))
}
)
test_that("start_time < treat_time < end_time is enforced with errors",
{
# Check that treat_time > end_time throws error
init_filepath <- system.file("extdata/errors", "init_badchronology.csv",
package = "undidR")
init_df <- read.csv(init_filepath, header = TRUE, sep = ",",
stringsAsFactors = FALSE)
init_df <- data.frame(lapply(init_df, as.character),
stringsAsFactors = FALSE)
init_df$treatment_time <- tolower(init_df$treatment_time)
expect_null(.init_checks(init_df))
init_df$start_time <- as.Date(vapply(init_df$start_time,
.parse_string_to_date,
FUN.VALUE = as.Date(NA),
date_format = "yyyy"))
init_df$end_time <- as.Date(vapply(init_df$end_time, .parse_string_to_date,
FUN.VALUE = as.Date(NA),
date_format = "yyyy"))
expect_error(.start_treat_end_time_check(init_df, "yyyy"))
# Check that start_time > end_time throws error
init_filepath <- system.file("extdata/errors", "init_badchronology2.csv",
package = "undidR")
init_df <- read.csv(init_filepath, header = TRUE, sep = ",",
stringsAsFactors = FALSE)
init_df <- data.frame(lapply(init_df, as.character),
stringsAsFactors = FALSE)
init_df$treatment_time <- tolower(init_df$treatment_time)
expect_null(.init_checks(init_df))
expect_error(.start_treat_end_time_check(init_df, "yyyy"))
}
)
test_that(".read_diff_df() throws error if named silo not found",
{
diff_df_filepath <- system.file("extdata/staggered", "empty_diff_df.csv",
package = "undidR")
expect_error(.read_diff_df(diff_df_filepath, silo_name = "Ontario",
stage = 2))
}
)
test_that(".read_diff_df() throws error if column structure unexpected",
{
diff_df_filepath <- system.file("extdata/errors",
"empty_diff_df_badcolumns_staggered.csv",
package = "undidR")
expect_error(.read_diff_df(diff_df_filepath, silo_name = "71",
stage = 2))
diff_df_filepath <- system.file("extdata/errors",
"empty_diff_df_badcolumns_common.csv",
package = "undidR")
expect_error(.read_diff_df(diff_df_filepath, silo_name = "71",
stage = 3))
}
)
test_that(".read_diff_df() reads .csv generated from Julia correctly",
{
diff_df_filepath <- system.file("extdata/julia",
"empty_diff_df_jl.csv",
package = "undidR")
expect_equal(.read_diff_df(diff_df_filepath, silo_name = "11",
stage = 2)$diff_estimate[1], NA_real_)
}
)
test_that("check .parse_date_to_string() for ddmonyyyy format",
{
date_str <- .parse_date_to_string(as.Date("1991-01-01"), "ddmonyyyy")
expect_equal(date_str, "01jan1991")
}
)
test_that(".parse_string_to_date() works in many contexts",
{
# Ensure mm/yyyy (or mm-yyyy) format is processed correctly
# (other formats are tested implicitly through other tests)
date_str <- .parse_string_to_date("04/1991", "mm/yyyy")
expect_equal(date_str, as.Date("1991-04-01"))
expect_error({
.parse_string_to_date("25 Sept 1997", "dd month year")
}, "Please enter a valid date format.")
}
)
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