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#' @srrstats {G5.2} Unit tests demonstrate error messages and compare results with expected values.
#' @srrstats {G5.2a} Every message produced by `stop()` is unique.
#' @srrstats {G5.2b} Unit tests demonstrate error messages and compare results with expected values.
#' @srrstats {G5.8} See sub-tags for responses.
#' @srrstats {G5.8a} Unit tests include checks for zero-length data.
#' @srrstats {G5.8b} Unit tests include checks for unsupported data types.
#' @srrstats {G5.8c} Unit tests include checks for data with 'NA' fields.
#' @srrstats {G5.8d} Unit tests include checks for data outside the scope of the algorithm.
#' @srrstats {G5.10} All unit tests run as part of continuous integration.
test_that("qqplot.rga() errors on invalid inputs", {
# Not an rga object
expect_error(
qqplot.rga(list()),
"'x' must be an object of class 'rga'."
)
# Invalid 'main': numeric instead of string
dummy <- structure(list(), class = "rga")
expect_error(
qqplot.rga(dummy, main = 123),
"'main' must be a single character string."
)
# Invalid 'main': character vector of length > 1
expect_error(
qqplot.rga(dummy, main = c("a", "b")),
"'main' must be a single character string."
)
})
test_that("ppplot.rga() errors on invalid inputs", {
# Not an rga object
expect_error(
ppplot.rga(list()),
"'x' must be an object of class 'rga'."
)
# Invalid 'main': numeric instead of string
dummy <- structure(list(), class = "rga")
expect_error(
ppplot.rga(dummy, main = 999),
"'main' must be a single character string."
)
# Invalid 'main': character vector of length > 1
expect_error(
ppplot.rga(dummy, main = c("p", "q")),
"'main' must be a single character string."
)
})
# Build a minimal reproducible rga object for testing
make_rga_numeric <- function() {
times <- c(5, 10, 15, 20, 25)
failures <- c(1, 2, 1, 3, 2)
rga(times, failures) # assumes your rga() is available
}
make_rga_matrix <- function() {
fit <- make_rga_numeric()
# Overwrite betas and lambdas to matrix/list form to cover branches
fit$betas <- list(log_times = matrix(
c(0.9, 0.1),
nrow = 1, dimnames = list(NULL, c("Est.", "SE"))
))
fit$lambdas <- matrix(
c(0.002, 0.0005),
nrow = 1, dimnames = list(NULL, c("Est.", "SE"))
)
fit
}
test_that("qqplot.rga runs silently on valid input (numeric params)", {
fit <- make_rga_numeric()
expect_silent(qqplot.rga(fit))
expect_silent(qqplot.rga(fit, main = "Custom QQ", pch = 19, col = "blue"))
})
test_that("qqplot.rga runs silently on valid input (matrix/list params)", {
fit <- make_rga_matrix()
expect_silent(qqplot.rga(fit))
})
test_that("ppplot.rga runs silently on valid input (numeric params)", {
fit <- make_rga_numeric()
expect_silent(ppplot.rga(fit))
expect_silent(ppplot.rga(fit, main = "Custom PP", pch = 17, col = "red"))
})
test_that("ppplot.rga runs silently on valid input (matrix/list params)", {
fit <- make_rga_matrix()
expect_silent(ppplot.rga(fit))
})
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