Nothing
context("Calc annual outside normal")
test_that("creates a dataframe with the proper columns", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_normal_days(station_number = "08NM116", start_year = 1980)
expect_true(is.data.frame(data) &
ncol(data) == 5 &
all(c("Year","Below_Normal_Days","Above_Normal_Days","Normal_Days") %in% colnames(data)))
})
test_that("outputs data for two stations", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_normal_days(station_number = c("08NM116","08HB048"), start_year = 1980)
expect_true(length(unique(data$STATION_NUMBER)) == 2)
})
test_that("it is calculated correctly", {
skip_on_cran()
skip_on_ci()
upper <- 50
lower <- 45
data <- calc_annual_normal_days(station_number = "08NM116", start_year = 1980, end_year = 2010,
normal_percentiles = c(lower, upper))
flow_data <- add_date_variables(station_number = "08NM116")
flow_data <- dplyr::filter(flow_data, WaterYear >= 1980, WaterYear <=2010)
data_test <- dplyr::group_by(flow_data, DayofYear)
data_test <- dplyr::summarise(data_test,
Upper_ptile = stats::quantile(Value, upper/100),
Lower_ptile = stats::quantile(Value, lower/100))
data_test <- dplyr::left_join(flow_data, data_test, by = "DayofYear")
data_test <- dplyr::filter(data_test, WaterYear == 1980)
data_test <- dplyr::mutate(data_test,
normal = ifelse(Value < Lower_ptile, "low",
ifelse(Value > Upper_ptile, "high", "norm")))
data_test <- dplyr::summarise(dplyr::group_by(data_test, normal), counts = dplyr::n())
high <- as.numeric(data_test$counts[1])
low <- as.numeric(data_test$counts[2])
expect_true(data[[1,4]] == low)
expect_true(data[[1,5]] == high)
})
test_that("transpose properly transposed the results", {
skip_on_cran()
skip_on_ci()
data <- calc_annual_normal_days(station_number = "08NM116", start_year = 1980,
transpose = TRUE)
expect_true(all(c("Below_Normal_Days","Above_Normal_Days","Normal_Days") %in% data$Statistic))
})
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