test_that("No errors", {
dataset <- tibble::tibble(
StartDate = c(lubridate::mdy_hms('Jan 1 2022 10:00:00'), lubridate::mdy_hms( 'Feb 1 2022 10:00:00')),
EndDate = c(lubridate::mdy_hms('Jan 1 2022 10:00:10'), lubridate::mdy_hms( 'Feb 1 2022 10:00:30')),
Duration__in_seconds_ = c(600, 1800)
)
expect_error(
methodology(dataset, 100000),
regexp = NA
)
})
test_that("MOEs", {
dataset <- tibble::tibble(
StartDate = c(rep(lubridate::mdy_hms('Jan 1 2022 10:00:00'), 100)),
EndDate = c(rep(lubridate::mdy_hms('Jan 1 2022 10:00:10'), 100)),
Duration__in_seconds_ = c(rep(600, 100))
)
expect_equal(
get_moe(dataset, population = 100000),
'MOE: +/- 9.80'
)
})
test_that("Field Dates", {
dataset <- tibble::tibble(
StartDate = c(lubridate::mdy_hms('Jan 1 2022 10:00:00'), lubridate::mdy_hms( 'Feb 1 2022 10:00:00')),
EndDate = c(lubridate::mdy_hms('Jan 1 2022 10:00:10'), lubridate::mdy_hms( 'Feb 1 2022 10:00:30')),
Duration__in_seconds_ = c(600, 1800)
)
expect_equal(
get_field_dates(dataset),
'Fielded: Jan 1 - Feb 1'
)
})
test_that("LOIs", {
dataset <- tibble::tibble(
StartDate = c(rep(lubridate::mdy_hms('Jan 1 2022 10:00:00'), 98), lubridate::mdy_hms( 'Feb 1 2022 10:00:00')),
EndDate = c(rep(lubridate::mdy_hms('Jan 1 2022 10:00:10'), 98), lubridate::mdy_hms( 'Feb 1 2022 10:00:30')),
Duration__in_seconds_ = c(rep(600, 98), 1800)
)
loi_minutes_untrimmed <- (mean(dataset$Duration__in_seconds_) / 60) %>% round(1)
loi_minutes_trimmed <- (mean(dataset$Duration__in_seconds_, trim = 0.025) / 60) %>% round(1)
loi_minutes_untrimmed_char <- stringr::str_c('Mean LOI: ', loi_minutes_untrimmed, ' minutes')
loi_minutes_trimmed_char <- stringr::str_c('Mean LOI trimmed: ', loi_minutes_trimmed, ' minutes')
expect_equal(
loi_minutes_untrimmed_char,
'Mean LOI: 10.2 minutes'
)
expect_equal(
loi_minutes_trimmed_char,
'Mean LOI trimmed: 10 minutes'
)
})
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