context("Calc annual lowflows")
test_that("creates a dataframe with the proper columns", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_lowflows(station_number = "08NM116", start_year = 1980)
expect_true(is.data.frame(data) &
ncol(data) == 14 &
all(c("Min_1_Day","Min_1_Day_DoY","Min_1_Day_Date") %in% colnames(data)))
})
test_that("outputs data for two stations", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_lowflows(station_number = c("08NM116","08HB048"), start_year = 1980)
expect_true(length(unique(data$STATION_NUMBER)) == 2)
})
test_that("creates a dataframe with seasons", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_lowflows(station_number = "08NM116", start_year = 1980,
roll_days = 5)
expect_true(is.data.frame(data) &
ncol(data) == 5 &
all(c("Min_5_Day","Min_5_Day_DoY","Min_5_Day_Date") %in% colnames(data)))
})
test_that("it is calculated correctly", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_lowflows(station_number = "08NM116",
start_year = 1980, end_year = 1980)
flow_data <- add_date_variables(station_number = "08NM116")
flow_data <- add_rolling_means(flow_data)
flow_data <- dplyr::filter(flow_data, WaterYear == 1980)
expect_true(round(data[[1,9]],1) == round(min(flow_data$Q7Day),1))
data_test <- dplyr::filter(flow_data, Q7Day == min(flow_data$Q7Day))
expect_true(data[[1,10]] == min(data_test$DayofYear))
expect_true(data[[1,11]] == min(data_test$Date))
})
test_that("transpose properly transposed the results", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_lowflows(station_number = "08NM116", start_year = 1980,
transpose = TRUE)
expect_true(all(c("Min_1_Day","Min_1_Day_DoY") %in% data$Statistic))
})
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