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#' @srrstats {G5.0} Tests use standard recurrent event data.
#' @srrstats {G5.2} Unit tests demonstrate error messages and compare results.
#' @srrstats {G5.2a} Every message produced by stop() is unique.
#' @srrstats {G5.4} Correctness tests with known MCF values.
#' @srrstats {G5.8a} Checks for zero-length data.
#' @srrstats {G5.8b} Checks for unsupported data types.
#' @srrstats {G5.8c} Checks for data with NA fields.
# --- Input validation tests ---
test_that("mcf errors on missing id", {
expect_error(mcf(time = c(1, 2)), "'id' must be provided.", fixed = TRUE)
})
test_that("mcf errors on missing time", {
expect_error(mcf(id = c(1, 1)), "'time' must be provided.", fixed = TRUE)
})
test_that("mcf errors on empty id", {
expect_error(mcf(id = c(), time = c()), "'id' must be provided.", fixed = TRUE)
})
test_that("mcf errors on empty time", {
expect_error(mcf(id = c(1), time = c()), "'time' must be provided.", fixed = TRUE)
})
test_that("mcf errors on non-numeric time", {
expect_error(
mcf(id = c(1, 1), time = c("a", "b")),
"'time' must be a numeric vector.", fixed = TRUE
)
})
test_that("mcf errors on NA in time", {
expect_error(
mcf(id = c(1, 1), time = c(100, NA)),
"'time' contains missing (NA) or NaN values.", fixed = TRUE
)
})
test_that("mcf errors on NaN in time", {
expect_error(
mcf(id = c(1, 1), time = c(100, NaN)),
"'time' contains missing (NA) or NaN values.", fixed = TRUE
)
})
test_that("mcf errors on non-positive time", {
expect_error(
mcf(id = c(1, 1), time = c(0, 100)),
"All values in 'time' must be finite and > 0.", fixed = TRUE
)
})
test_that("mcf errors on infinite time", {
expect_error(
mcf(id = c(1, 1), time = c(100, Inf)),
"All values in 'time' must be finite and > 0.", fixed = TRUE
)
})
test_that("mcf errors on mismatched id and time lengths", {
expect_error(
mcf(id = c(1, 2, 3), time = c(100, 200)),
"'id' and 'time' must have the same length.", fixed = TRUE
)
})
test_that("mcf errors on non-numeric event", {
expect_error(
mcf(id = c(1, 1), time = c(100, 200), event = c("a", "b")),
"'event' must be a numeric vector.", fixed = TRUE
)
})
test_that("mcf errors on mismatched event length", {
expect_error(
mcf(id = c(1, 1), time = c(100, 200), event = c(1)),
"'event' and 'time' must have the same length.", fixed = TRUE
)
})
test_that("mcf errors on NA in event", {
expect_error(
mcf(id = c(1, 1), time = c(100, 200), event = c(1, NA)),
"'event' contains missing (NA) or NaN values.", fixed = TRUE
)
})
test_that("mcf errors on invalid event values", {
expect_error(
mcf(id = c(1, 1), time = c(100, 200), event = c(1, 2)),
"'event' must contain only 0 (censored) or 1 (event).", fixed = TRUE
)
})
test_that("mcf errors on invalid conf_level", {
expect_error(
mcf(id = c(1), time = c(100), conf_level = "a"),
"'conf_level' must be a single numeric value.", fixed = TRUE
)
expect_error(
mcf(id = c(1), time = c(100), conf_level = 0),
"'conf_level' must be between 0 and 1 (exclusive).", fixed = TRUE
)
expect_error(
mcf(id = c(1), time = c(100), conf_level = 1),
"'conf_level' must be between 0 and 1 (exclusive).", fixed = TRUE
)
})
# --- Data frame input tests ---
test_that("mcf works with data frame input", {
df <- data.frame(id = c(1, 1, 2, 2), time = c(100, 200, 150, 300))
result <- mcf(data = df)
expect_s3_class(result, "mcf")
expect_equal(result$n_systems, 2)
expect_equal(result$n_events, 4)
})
test_that("mcf data frame errors on missing columns", {
expect_error(
mcf(data = data.frame(x = 1:3)),
"'data' must contain a column named 'id'.", fixed = TRUE
)
expect_error(
mcf(data = data.frame(id = 1:3)),
"'data' must contain a column named 'time'.", fixed = TRUE
)
})
test_that("mcf errors on non-data-frame data", {
expect_error(
mcf(data = list(id = 1, time = 1)),
"'data' must be a data frame.", fixed = TRUE
)
})
test_that("mcf data frame with event column works", {
df <- data.frame(
id = c(1, 1, 2, 2),
time = c(100, 200, 150, 300),
event = c(1, 0, 1, 1)
)
result <- mcf(data = df)
expect_s3_class(result, "mcf")
expect_equal(result$n_events, 3)
})
# --- Correctness tests ---
test_that("mcf computes correct values for simple single-system case", {
# Single system with events at 100, 200, 300
id <- c(1, 1, 1)
time <- c(100, 200, 300)
result <- mcf(id, time)
# For single system, MCF = cumulative count: 1, 2, 3
expect_equal(result$mcf, c(1, 2, 3))
expect_equal(result$time, c(100, 200, 300))
expect_equal(result$n_systems, 1)
expect_equal(result$n_events, 3)
})
test_that("mcf computes correct values for multi-system case", {
# System 1: events at 100, 300; max_time = 300
# System 2: events at 100, 200; max_time = 200
# At t=100: d=2, n=2, increment = 1.0
# At t=200: d=1, n=2, increment = 0.5
# At t=300: d=1, n=1, increment = 1.0
id <- c(1, 1, 2, 2)
time <- c(100, 300, 100, 200)
result <- mcf(id, time)
expect_equal(result$time, c(100, 200, 300))
expect_equal(result$mcf, c(1.0, 1.5, 2.5))
expect_equal(result$n_systems, 2)
expect_equal(result$n_events, 4)
})
test_that("mcf with censoring excludes censored observations from events", {
id <- c(1, 1, 2, 2)
time <- c(100, 300, 100, 200)
event <- c(1, 0, 1, 1) # System 1's second obs is censoring
result <- mcf(id, time, event)
# Events at: t=100 (sys 1 + sys 2), t=200 (sys 2)
# At t=100: d=2, n=2, increment = 1.0
# At t=200: d=1, n=2, increment = 0.5
expect_equal(result$time, c(100, 200))
expect_equal(result$mcf, c(1.0, 1.5))
expect_equal(result$n_events, 3)
})
test_that("mcf confidence bounds are wider at higher confidence level", {
id <- c(1, 1, 1, 2, 2, 3, 3, 3)
time <- c(100, 200, 300, 100, 250, 50, 150, 400)
result_90 <- mcf(id, time, conf_level = 0.90)
result_99 <- mcf(id, time, conf_level = 0.99)
width_90 <- result_90$upper_bounds - result_90$lower_bounds
width_99 <- result_99$upper_bounds - result_99$lower_bounds
expect_true(all(width_99 >= width_90))
})
test_that("mcf lower bounds are non-negative", {
id <- c(1, 1, 2, 2, 3)
time <- c(100, 200, 150, 300, 50)
result <- mcf(id, time)
expect_true(all(result$lower_bounds >= 0))
})
# --- end_time (exposure) tests ---
test_that("mcf with end_time keeps systems in risk set longer", {
# System 1: event at 100; last event = 100
# System 2: event at 200; last event = 200
# Without end_time: at t=200, n=1 (sys1 dropped out at 100)
# With end_time = 500 for both: at t=200, n=2
id <- c(1, 2)
time <- c(100, 200)
result_no_et <- mcf(id, time)
result_et <- mcf(id, time, end_time = c("1" = 500, "2" = 500))
# Without end_time: at t=200, n_j=1 so increment = 1/1 = 1
# With end_time: at t=200, n_j=2 so increment = 1/2 = 0.5
# MCF at t=200 should be lower with end_time
expect_true(result_et$mcf[length(result_et$mcf)] <
result_no_et$mcf[length(result_no_et$mcf)])
})
test_that("mcf with end_time produces correct values", {
# System 1: event at 100, observed until 400
# System 2: event at 100, event at 300, observed until 300
# At t=100: d=2, n=2, increment = 1.0
# At t=300: d=1, n=2 (sys1 still at risk until 400), increment = 0.5
id <- c(1, 2, 2)
time <- c(100, 100, 300)
end_time <- c("1" = 400, "2" = 300)
result <- mcf(id, time, end_time = end_time)
expect_equal(result$time, c(100, 300))
expect_equal(result$mcf, c(1.0, 1.5))
})
test_that("mcf with unnamed end_time works", {
id <- c(1, 2)
time <- c(100, 200)
# Unnamed: assumed to be in order of unique(id) = c(1, 2)
result <- mcf(id, time, end_time = c(500, 500))
expect_s3_class(result, "mcf")
})
test_that("mcf errors on unnamed end_time with wrong length", {
id <- c(1, 2)
time <- c(100, 200)
expect_error(
mcf(id, time, end_time = c(500, 500, 500)),
"Unnamed 'end_time' must have one value per system"
)
})
test_that("mcf errors on non-numeric end_time", {
id <- c(1, 2)
time <- c(100, 200)
expect_error(
mcf(id, time, end_time = c("a", "b")),
"'end_time' must be a numeric vector.", fixed = TRUE
)
})
test_that("mcf errors on NA in end_time", {
id <- c(1, 2)
time <- c(100, 200)
expect_error(
mcf(id, time, end_time = c(500, NA)),
"'end_time' contains missing (NA) or NaN values.", fixed = TRUE
)
})
test_that("mcf errors on non-positive end_time", {
id <- c(1, 2)
time <- c(100, 200)
expect_error(
mcf(id, time, end_time = c(500, 0)),
"All values in 'end_time' must be finite and > 0.", fixed = TRUE
)
})
test_that("mcf output includes end_times", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_true("end_times" %in% names(result))
})
test_that("mcf end_times from data frame works", {
df <- data.frame(
id = c(1, 1, 2, 2),
time = c(100, 200, 150, 300),
end_time = c(500, 500, 500, 500)
)
result <- mcf(data = df)
expect_s3_class(result, "mcf")
# end_time should be 500 for both systems
expect_equal(unname(result$end_times), c(500, 500))
})
test_that("mcf with exposure end_times interoperates", {
# Compute exposure, then use its end_times in MCF
id <- c(1, 1, 1, 2, 2, 2)
time <- c(100, 300, 500, 80, 300, 600)
event <- c(1, 1, 0, 1, 1, 0)
exp_result <- exposure(id, time, event)
mcf_result <- mcf(id, time, event, end_time = exp_result$end_times)
expect_s3_class(mcf_result, "mcf")
# With censoring at 500 and 600, both systems should be at risk
# longer than if we only considered event times
expect_true(all(mcf_result$end_times >= 0))
})
# --- Print and plot tests ---
test_that("print.mcf produces output", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_output(print(result), "Mean Cumulative Function")
})
test_that("print.mcf returns invisible", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_invisible(print(result))
})
test_that("print.mcf errors on wrong class", {
expect_error(
print.mcf(list(a = 1)),
"'x' must be an object of class 'mcf'.", fixed = TRUE
)
})
test_that("plot.mcf produces a plot without error", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_silent(plot(result, main = "Test MCF"))
})
test_that("plot.mcf validates inputs", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_error(plot.mcf(list(a = 1)), "'x' must be an object of class 'mcf'.")
expect_error(plot(result, conf_bounds = "yes"), "'conf_bounds' must be a single logical value.")
expect_error(plot(result, legend = "yes"), "'legend' must be a single logical value.")
expect_error(plot(result, legend_pos = 123), "'legend_pos' must be a single character string.")
})
test_that("plot.mcf works without confidence bounds and legend", {
id <- c(1, 1, 2, 2)
time <- c(100, 200, 150, 300)
result <- mcf(id, time)
expect_silent(plot(result, conf_bounds = FALSE, legend = FALSE))
})
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