Nothing
test_that("SCORE2_CKD function works correctly", {
# Test basic functionality with valid inputs
result <- SCORE2_CKD(
Risk.region = "Low", Age = 55, Gender = "male", smoker = 1,
systolic.bp = 140, diabetes = 0, total.chol = 5.5,
total.hdl = 1.3, eGFR = 45, ACR = 150, trace = "1+",
classify = FALSE
)
expect_type(result, "double")
expect_length(result, 1)
expect_false(is.na(result))
expect_true(result >= 0)
# Test classification
result_class <- SCORE2_CKD(
Risk.region = "Low", Age = 65, Gender = "female", smoker = 0,
systolic.bp = 160, diabetes = 1, total.chol = 6.0,
total.hdl = 1.0, eGFR = 30, ACR = 300, trace = "2+",
classify = TRUE
)
expect_type(result_class, "character")
expect_true(result_class %in% c("Very low risk", "Low risk", "Moderate risk", "High risk"))
# Test different risk regions
for(region in c("Low", "Moderate", "High", "Very high")) {
result_region <- SCORE2_CKD(
Risk.region = region, Age = 60, Gender = "male", smoker = 0,
systolic.bp = 130, diabetes = 0, total.chol = 5.0,
total.hdl = 1.2, eGFR = 50, ACR = 100, trace = "trace",
classify = FALSE
)
expect_type(result_region, "double")
expect_false(is.na(result_region))
}
# Test different trace levels
for(trace_level in c("trace", "1+", "2+", "3+", "4+")) {
result_trace <- SCORE2_CKD(
Risk.region = "Low", Age = 60, Gender = "male", smoker = 0,
systolic.bp = 130, diabetes = 0, total.chol = 5.0,
total.hdl = 1.2, eGFR = 50, ACR = 100, trace = trace_level,
classify = FALSE
)
expect_type(result_trace, "double")
expect_false(is.na(result_trace))
}
# Test edge cases
expect_error(SCORE2_CKD(Risk.region = "Invalid", Age = 50))
expect_error(SCORE2_CKD(Risk.region = "Low", Age = 30)) # Too young
expect_error(SCORE2_CKD(Risk.region = "Low", Age = 50, Gender = "invalid"))
})
test_that("SCORE2_CKD_scores function works correctly", {
# Create test data
test_data <- data.frame(
Age = c(50, 60, 70),
Gender = c("male", "female", "male"),
smoker = c(0, 1, 0),
systolic.bp = c(120, 140, 160),
diabetes = c(0, 0, 1),
total.chol = c(4.5, 5.5, 6.0),
total.hdl = c(1.4, 1.2, 1.0),
eGFR = c(60, 45, 30),
ACR = c(50, 150, 300),
trace = c("trace", "1+", "2+")
)
# Test without classification
result <- SCORE2_CKD_scores(
data = test_data, Risk.region = "Low", addon = "ACR", classify = FALSE
)
expect_s3_class(result, "data.frame")
expect_equal(nrow(result), 3)
# Test with classification
result_class <- SCORE2_CKD_scores(
data = test_data, Risk.region = "Low", addon = "ACR", classify = TRUE
)
expect_s3_class(result_class, "data.frame")
# Test with trace addon
result_trace <- SCORE2_CKD_scores(
data = test_data, Risk.region = "Low", addon = "trace", classify = FALSE
)
expect_s3_class(result_trace, "data.frame")
# Test error handling
expect_error(SCORE2_CKD_scores(data = data.frame(), Risk.region = "Low"))
expect_error(SCORE2_CKD_scores(data = test_data, Risk.region = "Invalid"))
})
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