Nothing
test_that("fsmev", {
describe("fsmev function", {
it("should throw an error if data is not a data.frame", {
expect_error(fsmev(list(1, 2)), "data must be of class 'data.frame'")
})
it("should throw an error if date column is not of class 'Date'", {
data <- data.frame(groupvar = c("2024-01-01", "2025-01-01"), val = c(10, 20))
expect_error(fsmev(data), "date column must be of class 'Date'")
})
it("should throw an error if data values are not of class 'numeric'", {
data <- data.frame(groupvar = c(as.Date(c("2024-01-01", "2025-01-01"))), val = c(10, "20"))
expect_error(fsmev(data), "data values must be of class 'numeric'")
})
it("should throw an error if data contains negative values", {
data <- data.frame(groupvar = c(as.Date(c("2024-01-01", "2025-01-01"))), val = c(-10, 20))
expect_error(fsmev(data), "data must not contain values < 0")
})
it("should throw a warning if data contains NA values", {
data <- data.frame(groupvar = c(as.Date(c("2024-01-01", "2025-01-01"))), val = c(10, NA))
expect_warning(fsmev(data), "data contains 1 NA values")
})
it("should correctly calculate SMEV parameters for valid input", {
# Setup a mock dataset
data <- data.frame(
groupvar = as.Date(c("2024-01-01", "2024-02-01", "2025-01-01")),
val = c(10, 15, 12)
)
result <- fsmev(data, threshold = 5)
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should correctly calculate SMEV parameters for method 'mle'", {
# Setup a mock dataset
data <- data.frame(
groupvar = as.Date(c("2024-01-01", "2024-02-01", "2025-01-01")),
val = c(10, 15, 12)
)
result <- fsmev(data, method = "mle")
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should correctly calculate SMEV parameters for method 'ls'", {
# Setup a mock dataset
set.seed(123)
sample_dates <- seq.Date(from = as.Date("2000-01-01"), to = as.Date("2001-01-01"), by = "day")
sample_data <- data.frame(groupvar = sample_dates, val = sample(rnorm(length(sample_dates))))
sample_data$groupvar <- as.Date(sample_data$groupvar)
data <- sample_data |>
filter(val >= 0 & !is.na(val))
result <- fsmev(data, method = "ls")
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should correctly calculate standard errors for method 'pwm'", {
# Setup a mock dataset
data <- data.frame(
groupvar = as.Date(c("2024-01-01", "2024-02-01", "2025-01-01")),
val = c(10, 15, 12)
)
result <- fsmev(data, sd = TRUE)
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
expect_true("std" %in% names(result))
expect_true("varcov" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should correctly calculate standard errors for method 'mle'", {
# Setup a mock dataset
set.seed(123)
sample_dates <- seq.Date(from = as.Date("2000-01-01"), to = as.Date("2001-01-01"), by = "day")
sample_data <- data.frame(groupvar = sample_dates, val = sample(rnorm(length(sample_dates))))
sample_data$groupvar <- as.Date(sample_data$groupvar)
data <- sample_data |>
filter(val >= 0 & !is.na(val))
result <- fsmev(data, method = "mle", sd = TRUE)
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
expect_true("std" %in% names(result))
expect_true("varcov" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should correctly calculate standard errors for method 'ls'", {
# Setup a mock dataset
set.seed(123)
sample_dates <- seq.Date(from = as.Date("2000-01-01"), to = as.Date("2001-01-01"), by = "day")
sample_data <- data.frame(groupvar = sample_dates, val = sample(rnorm(length(sample_dates))))
sample_data$groupvar <- as.Date(sample_data$groupvar)
data <- sample_data |>
filter(val >= 0 & !is.na(val))
result <- fsmev(data, method = "ls", sd = TRUE)
# Check if the result has the expected structure
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
expect_true("std" %in% names(result))
expect_true("varcov" %in% names(result))
# Add more assertions based on what you expect the output to be
})
it("should throw an error if method of standard error calculation is not 'boot'", {
data <- data.frame(groupvar = c(as.Date(c("2024-01-01", "2025-01-01"))), val = c(10, 20))
expect_error(fsmev(data, sd = TRUE, sd.method = "ana"), "only method 'boot' is allowed for calculation of standard errors")
})
it("should correctly calculate SMEV parameters for censored input", {
data("dailyrainfall")
result <- fsmev(dailyrainfall, censor = TRUE, censor_opts = list(thresholds = c(0.1, 0.5, 0.9), mon = 1, nrtrials = 1, R = 100))
expect_true("c" %in% names(result))
expect_true("w" %in% names(result))
expect_true("n" %in% names(result))
#expect_true("method" == "censored lsreg")
})
})
})
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