library(cdms.products)
library(dplyr)
library(naflex)
niger <- daily_niger %>%
filter(year %in% 1950:1951)
test_that("Max and min are correcty calculated", {
x_monthly <- niger %>%
group_by(station_name, year, month) %>%
summarise(max_tmax = max(tmax), min_tmax = min(tmax))
y_monthly <- climatic_extremes(data = niger, date_time = "date", year = "year", month = "month",
to = "monthly", station = "station_name",
elements = "tmax", max_val = TRUE, min_val = TRUE)
expect_equal(x_monthly, y_monthly)
})
test_that("Date cols are correctly calculated", {
t_first <- climatic_extremes(data = niger, date_time = "date", year = "year", month = "month",
to = "monthly", station = "station_name",
elements = "tmax", max_val = TRUE, first = TRUE, n_dates = TRUE,
last_date = TRUE)
r_first <- niger %>%
dplyr::group_by(station_name, year, month) %>%
dplyr::mutate(max_tmax = max(tmax)) %>%
dplyr::filter(tmax == max_tmax, .preserve = TRUE) %>%
summarise(max_tmax = first(max_tmax),
first_date = first(date),
n_date = n(),
last_date = last(date))
expect_equal(t_first, r_first)
})
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