Nothing
test_that("weibull_to_rga returns correct output for valid inputs", {
failures <- c(100, 200, 200, 400)
suspensions <- c(250, 350, 450)
result <- weibull_to_rga(failures, suspensions)
# Check if the result is a data frame
expect_s3_class(result, "data.frame")
# Check if the column names are correct
expect_named(result, c("CumulativeTime", "Failures"))
# Check if the values are as expected
expect_equal(nrow(result), 3) # Only failure times with counts > 0
# expect_equal(result$CumulativeTime, cumsum(failures))
expect_equal(result$Failures, c(1, 2, 1)) # Aggregated failure counts
})
test_that("weibull_to_rga handles empty failures gracefully", {
failures <- ""
suspensions <- c(100, 200)
expect_error(
weibull_to_rga(failures, suspensions),
"Error: `failures` must be a numeric vector with positive values."
)
})
test_that("weibull_to_rga handles invalid inputs for failures", {
# Negative values in failures
expect_error(
weibull_to_rga(c(-100, 200), NULL),
"Error: `failures` must be a numeric vector with positive values."
)
# Non-numeric values in failures
expect_error(
weibull_to_rga(c("a", "b"), NULL),
"Error: `failures` must be a numeric vector with positive values."
)
})
test_that("weibull_to_rga handles invalid suspensions correctly", {
failures <- c(100, 200)
# Negative values in suspensions
expect_error(
weibull_to_rga(failures, c(-100, -200)),
"Error: suspensions must be a numeric vector with positive values."
)
# Non-numeric values in suspensions
expect_error(
weibull_to_rga(failures, c("a", "b")),
"Error: suspensions must be a numeric vector with positive values."
)
})
test_that("weibull_to_rga works with NULL suspensions", {
failures <- c(100, 200, 400)
result <- weibull_to_rga(failures, NULL)
# Check if the result is as expected
expect_s3_class(result, "data.frame")
expect_equal(result$CumulativeTime, cumsum(failures))
expect_equal(result$Failures, c(1, 1, 1)) # Each failure is counted
})
test_that("weibull_to_rga handles duplicate failure times correctly", {
failures <- c(100, 200, 200, 400)
suspensions <- c(250)
result <- weibull_to_rga(failures, suspensions)
# Check aggregated failure counts
expect_equal(result$Failures, c(1, 2, 1)) # Aggregated counts
})
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