testthat::skip_if(getRversion() <= package_version("4.1.0"))
testthat::skip_on_os(c("mac", "linux"))
library(ggplot2)
library(dplyr)
set_blanket()
set.seed(123)
t <- as.POSIXct("2021-01-01")
e1 <- as.POSIXct("2021-12-31 23:59:59")
n1 <- as.numeric(lubridate::as.duration(e1 - t))
s1 <- sample(seq.int(n1), 3000L)
## ---------------------------------------------------------------------------------------------------
test_name <- "datetime"
test_that(test_name, {
p <- tibble::tibble(dttm = t + s1) |>
dplyr::mutate(mon = lubridate::floor_date(dttm, "month")) |>
dplyr::summarise(total = dplyr::n(), .by = "mon") |>
gg_point(
x = mon,
y = total,
)
vdiffr::expect_doppelganger(test_name, p)
})
## ---------------------------------------------------------------------------------------------------
test_name <- "time"
test_that(test_name, {
p <- tibble::tibble(dttm = t + s1) |>
dplyr::mutate(mon = lubridate::floor_date(dttm, "month")) |>
dplyr::summarise(total = dplyr::n(), .by = "mon") |>
dplyr::mutate(mon = hms::as_hms(mon)) |>
gg_point(
x = mon,
y = total,
)
vdiffr::expect_doppelganger(test_name, p)
})
## ---------------------------------------------------------------------------------------------------
test_name <- "date"
test_that(test_name, {
p <- tibble::tibble(dttm = t + s1) |>
dplyr::mutate(mon = lubridate::floor_date(dttm, "month")) |>
dplyr::summarise(total = dplyr::n(), .by = "mon") |>
dplyr::mutate(mon = lubridate::as_date(mon)) |>
gg_point(
x = mon,
y = total,
)
vdiffr::expect_doppelganger(test_name, p)
})
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