context("test-lm")
# Read test results
test_results <- read_stats("test_results.csv")
# Run tests, consisting of the following steps:
# - Retrieve the correct output from the test results file
# - Run the statistical model
# - Tidy the output
# - Compare the tidied output with the (correct) output from the file
test_that("simple linear regressions work", {
correct <- test_results[["lm_simple"]]
model <- lm(call_parent ~ condition, data = cox)
output <- tidy_stats(model)
expect_equal(as.data.frame(output), as.data.frame(correct), tolerance = .002)
})
test_that("multiple linear regressions work", {
correct <- test_results[["lm_multiple"]]
model <- lm(call_parent ~ condition + anxiety, data = cox)
output <- tidy_stats(model)
expect_equal(as.data.frame(output), as.data.frame(correct), tolerance = .002)
})
test_that("interaction linear regressions work", {
correct <- test_results[["lm_interaction"]]
model <- lm(call_parent ~ condition * anxiety, data = cox)
output <- tidy_stats(model)
expect_equal(as.data.frame(output), as.data.frame(correct), tolerance = .002)
})
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