Nothing
test_that("calc_spa works with valid input", {
# Valid input with different levels of SPA
survey_df <- data.frame(
person_id = c(1, 1, 1, 1, 1, 1, 1, # 7 responses for person 1
2, 2, 2, 2, 2, 2, 2), # 7 responses for person 2
question_concept_id = rep(c(40192436, 40192440, 40192437, 40192431, 40192410,
40192492, 40192414), 2),
answer_concept_id = c(40192514, 40192514, 40192514, 40192514, 40192514, 40192514, 40192514, # All "Strongly agree" (4)
40192422, 40192422, 40192422, 40192422, 40192422, 40192422, 40192422) # All "Strongly disagree" (1)
)
# Expected output: correctly calculated sum scores
expected_output <- data.frame(
person_id = c(1, 2),
spa = c(22, 13) # Maximum and minimum scores
)
# Call the function and compare with expected output
result <- calc_spa(survey_df)
expect_equal(result$spa, expected_output$spa)
})
test_that("calc_spa handles incomplete responses", {
# Person 2 has fewer than 7 responses
survey_df <- data.frame(
person_id = c(1, 1, 1, 1, 1, 1, 1, # 7 responses for person 1
2, 2, 2, 2, 2), # Only 5 responses for person 2
question_concept_id = c(rep(c(40192436, 40192440, 40192437, 40192431, 40192410,
40192492, 40192414), 1),
c(40192436, 40192440, 40192437, 40192431, 40192410)), # Missing 2 responses for person 2
answer_concept_id = c(rep(40192514, 7), rep(40192514, 5)) # All "Strongly agree" (4)
)
# Expected output: person 1 gets a valid score, person 2 gets NA
expected_output <- data.frame(
person_id = c(1, 2),
spa = c(22, NA_real_)
)
result <- calc_spa(survey_df)
expect_equal(result$spa, expected_output$spa)
})
test_that("calc_spa handles skipped responses", {
# Some participants have skipped responses
survey_df <- data.frame(
person_id = c(1, 1, 1, 1, 1, 1, 1, # 7 responses for person 1
2, 2, 2, 2, 2, 2, 2), # 7 responses for person 2
question_concept_id = rep(c(40192436, 40192440, 40192437, 40192431, 40192410,
40192492, 40192414), 2),
answer_concept_id = c(40192478, 40192478, 40192478, 40192478, 40192478, 40192478, 40192478, # All "Somewhat agree" (3) for person 1
40192478, 903096, 40192478, 40192478, 903096, 40192478, 40192478) # Skipped some for person 2
)
# Expected output: person 1 gets a valid score, person 2 gets NA
expected_output <- data.frame(
person_id = c(1, 2),
spa = c(19, NA_real_)
)
result <- calc_spa(survey_df)
expect_equal(result$spa, expected_output$spa)
})
test_that("calc_spa handles missing responses", {
# Some participants did not respond (NA values)
survey_df <- data.frame(
person_id = c(1, 2, 3, 4, 5, 6, 7),
question_concept_id = c(40192436, 40192440, 40192437, 40192431, 40192410,
40192492, 40192414),
answer_concept_id = c(NA, NA, NA, NA, NA, NA, NA) # All NA responses
)
# Expected output: all should have NA
expected_output <- data.frame(
person_id = c(1, 2, 3, 4, 5, 6, 7),
spa = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)
)
result <- calc_spa(survey_df)
expect_equal(result$spa, expected_output$spa)
})
test_that("calc_spa handles empty input", {
# Empty input case
survey_df <- data.frame(
person_id = integer(0),
question_concept_id = integer(0),
answer_concept_id = integer(0)
)
result <- calc_spa(survey_df)
# Expect the result to be an empty data frame
expect_equal(nrow(result), 0)
})
test_that("calc_spa handles invalid column names", {
# Input with incorrect column names
bad_survey_df <- data.frame(
wrong_person_id = c(1, 2, 3),
wrong_question_id = c(40192436, 40192440, 40192437),
wrong_answer_id = c(40192514, 40192455, 40192408)
)
# Expect an error when the input does not have the correct column names
expect_error(calc_spa(bad_survey_df), "object 'question_concept_id' not found")
})
test_that("calc_spa returns NA for participants without valid answers", {
# No valid answers for any participants
survey_df <- data.frame(
person_id = c(1, 2, 3, 4, 5, 6, 7),
question_concept_id = c(40192436, 40192440, 40192437, 40192431, 40192410,
40192492, 40192414),
answer_concept_id = c(99999999, 99999999, 99999999, 99999999, 99999999, 99999999, 99999999) # All invalid responses
)
result <- calc_spa(survey_df)
# Expected output: all participants should have NA
expected_output <- data.frame(
person_id = c(1, 2, 3, 4, 5, 6, 7),
spa = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)
)
expect_equal(result$spa, expected_output$spa)
})
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