Nothing
test_that("read_survival_data handles CSVs and missing values", {
# Create a temporary CSV file
tmp_file <- tempfile(fileext = ".csv")
test_data <- data.frame(
surv_time = c(10, 20, NA, 40),
event_stat = c(1, 0, 1, 1),
age = c(50, 60, 70, 80)
)
write.csv(test_data, tmp_file, row.names = FALSE)
# Test reading with covariates
expect_warning(
clean_dat <- read_survival_data(tmp_file, time_col = "surv_time", status_col = "event_stat", covar_cols = "age"),
"Dropped 1 rows due to missing values"
)
expect_equal(nrow(clean_dat), 3)
expect_equal(colnames(clean_dat), c("time", "status", "age"))
# Test reading without status (assumes all 1s)
clean_dat2 <- read_survival_data(tmp_file, time_col = "surv_time")
expect_equal(clean_dat2$status, c(1, 1, 1)) # NA row was dropped
unlink(tmp_file)
})
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