testthat::context("simsum") testthat::test_that("simsum prints ok", { data("MIsim", package = "rsimsum") data("relhaz", package = "rsimsum") testthat::expect_output(print(rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method"))) testthat::expect_output(print(rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se"))) testthat::expect_output(print(rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", control = list(mcse = FALSE)))) testthat::expect_output(print(rsimsum::simsum(data = MIsim, estvarname = "b", se = "se"))) testthat::expect_output(print(rsimsum::simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = c("n", "baseline")))) testthat::expect_output(print(rsimsum::simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", by = c("n", "baseline")))) testthat::expect_output(print(rsimsum::simsum(data = relhaz, estvarname = "theta", se = "se"))) }) testthat::test_that("simsum returns an object of class simsum", { data("MIsim", package = "rsimsum") s <- rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", ref = "CC") testthat::expect_s3_class(s, "simsum") }) testthat::test_that("summ slot of a simsum object is a data.frame", { data("MIsim", package = "rsimsum") s <- rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", ref = "CC") testthat::expect_s3_class(s$summ, "data.frame") }) testthat::test_that("not passing estvarname throws an error", { testthat::expect_error( { data("MIsim", package = "rsimsum") s <- rsimsum::simsum(data = MIsim, true = 0.5, se = "se", methodvar = "method", ref = "CC") }, 'argument "estvarname" is missing, with no default' ) }) testthat::test_that("specifying ref and not methodvar throws a warning", { testthat::expect_warning( { data("MIsim", package = "rsimsum") s <- rsimsum::simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", ref = "CC") }, "'ref' method is specified while 'methodvar' is not: 'ref' will be ignored" ) }) testthat::test_that("specifying methodvar and not ref shows a message", { testthat::expect_message( { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method") }, "'ref' method was not specified, CC set as the reference" ) }) testthat::test_that("running simsum on MIsim return summaries of the correct dimension", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method") testthat::expect_equal(dim(s$summ), expected = c(15 * length(unique(MIsim$method)), 4)) }) testthat::test_that("simsum with mcse option returns mcse", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method") testthat::expect_true("mcse" %in% names(s$summ)) }) testthat::test_that("simsum without mcse option does not returns mcse", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", control = list(mcse = FALSE)) testthat::expect_false("mcse" %in% names(s$summ)) }) testthat::test_that("simsum with by factors returns error when 'by' name is not a variable in data", { testthat::expect_error({ data("relhaz", package = "rsimsum") simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = "by") }) }) testthat::test_that("simsum with by factors works fine", { data("relhaz", package = "rsimsum") testthat::expect_output(object = print(simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = "n"))) testthat::expect_output(object = print(simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = "baseline"))) testthat::expect_output(object = print(simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = c("n", "baseline")))) }) testthat::test_that("simsum with by factors returns a data.frame with results", { data("relhaz", package = "rsimsum") s <- simsum(data = relhaz, estvarname = "theta", true = -0.5, se = "se", methodvar = "model", by = c("n", "baseline")) testthat::expect_s3_class(object = s$summ, class = "data.frame") }) testthat::test_that("simsum works with missing data and default arguments", { data("MIsim") x <- MIsim set.seed(180123) x[which(rnorm(nrow(x)) > 2), "b"] <- NA x[which(rnorm(nrow(x)) > 2), "se"] <- NA testthat::expect_output(object = print(simsum(data = x, estvarname = "b", true = 0.5, se = "se", methodvar = "method"))) }) testthat::test_that("simsum with x = FALSE does not return data", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", x = FALSE) testthat::expect_null(object = s$x) }) testthat::test_that("simsum with custom ci.limits works as expected", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", ci.limits = c(-Inf, Inf)) testthat::expect_true(object = all(s$summ$est[s$summ$stat == "cover"] == 1)) s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", ci.limits = c(Inf, -Inf)) testthat::expect_true(object = all(s$summ$est[s$summ$stat == "cover"] == 0)) }) testthat::test_that("simsum with x = TRUE does return data", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", x = TRUE) testthat::expect_s3_class(object = s$x, class = "data.frame") testthat::expect_equal(object = nrow(s$x), expected = nrow(MIsim)) }) testthat::test_that("simsum with dropbig = TRUE does drop all the big stuff", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, se = "se", methodvar = "method", x = TRUE, dropbig = TRUE, control = list(dropbig.max = 3, dropbig.semax = 10, dropbig.robust = FALSE)) expected <- .dropbig(data = MIsim, estvarname = "b", se = "se", methodvar = "method", by = NULL, robust = FALSE, max = 3, semax = 10) expected <- .na_pair(data = expected, estvarname = "b", se = "se") expected$method <- factor(expected$method) testthat::expect_equivalent(object = s$x, expected = expected) s <- simsum(data = MIsim, estvarname = "b", true = 0.5, methodvar = "method", x = TRUE, dropbig = TRUE, control = list(dropbig.max = 3, dropbig.robust = FALSE)) expected <- .dropbig(data = MIsim, estvarname = "b", methodvar = "method", by = NULL, robust = FALSE, max = 3) expected <- .na_pair(data = expected, estvarname = "b") expected$method <- factor(expected$method) testthat::expect_equivalent(object = s$x, expected = expected) }) testthat::test_that("simsum without 'true' does not compute bias, rbias, cover, mse", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", se = "se", methodvar = "method") testthat::expect_false(object = any(c("bias", "rbias", "cover", "mse") %in% s$summ$stat)) }) testthat::test_that("simsum without 'se' does not compute se2mean, se2median, modelse, relerror, cover, becover, power", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", true = 0.5, methodvar = "method") testthat::expect_false(object = any(c("se2mean", "se2median", "modelse", "relerror", "cover", "becover", "power") %in% s$summ$stat)) }) testthat::test_that("simsum without 'se' nor 'true' does not compute se2mean, se2median, modelse, relerror, cover, becover, power, bias, rbias mse", { data("MIsim", package = "rsimsum") s <- simsum(data = MIsim, estvarname = "b", methodvar = "method") testthat::expect_false(object = any(c("se2mean", "se2median", "modelse", "relerror", "cover", "becover", "power", "bias", "rbias", "mse") %in% s$summ$stat)) }) testthat::test_that("simsum with both ci.limits and df throws an error", { data("tt", package = "rsimsum") testthat::expect_error(object = simsum(data = tt, estvarname = "diff", se = "se", methodvar = "method", ci.limits = c("lower", "upper"), df = "df")) })