datasets <- c("cadmium1", "cadmium2", "copper", "chlordan", "zinc") data(list = datasets) failswith_id <- function(dataset, id) { gen_failswith_id(reproDataCheck, dataset, id) } failswith_ids <- function(dataset, id) { gen_failswith_ids(reproDataCheck, dataset, id) } test_that("reproDataCheck", { skip_on_cran() check_all_datasets(datasets, reproDataCheck) zinc0 <- as.list(zinc) expect_named(reproDataCheck(zinc0, diagnosis.plot = FALSE), c("id", "msg")) failswith_id(zinc0, "dataframeExpected") zinc1 <- zinc colnames(zinc1) <- c("replica","con","time","Nsur","Nrepro") failswith_ids(zinc1, rep("missingColumn", 3)) zinc2 <- zinc[,c("replicate", "conc", "time", "Nsurv")] failswith_id(zinc2, "missingColumn") zinc3 <- zinc zinc3$Nrepro <- as.numeric(zinc3$Nrepro) failswith_id(zinc3, "NreproInteger") zinc4 <- zinc zinc4[91, "Nrepro"] <- 1 zinc4$Nrepro <- as.integer(zinc4$Nrepro) failswith_id(zinc4, "Nrepro0T0") zinc5 <- zinc zinc5[107, "Nsurv"] <- 0 zinc5Nsurv <- as.integer(zinc5$Nsurv) failswith_id(zinc5, "Nsurvt0Nreprotp1P") }) test_that("reproData", { skip_on_cran() lapply(datasets, function(x) { dat <- reproData(get(x)) expect_is(dat, c("reproData", "survDataCstExp", "survData", "tbl_df", "tbl", "data.frame")) expect_true(!is.null(dat)) expect_true(any(!is.na(dat))) expect_is(dat$Ninit, "integer") expect_is(dat$Nindtime, "numeric") expect_is(dat$Nreprocumul, "integer") expect_true(all(dat$Nindtime >= 0)) expect_true(all(dat$Nreprocumul >= 0)) T <- sort(unique(dat$time)) for (i in 2:length(T)) { now <- dat$time == T[i] before <- dat$time == T[i - 1] expect_true(all(dat$Nindtime[before] <= dat$Nindtime[now])) expect_true(all(dat$Nreprocumul[before] <= dat$Nreprocumul[now])) } }) }) ## test_that("reproFitTT", { ## skip_on_cran() ## lapply(d, function(x) { ## dat <- reproData(x) ## out <- reproFitTT(dat, quiet = T) ## expect_is(out, "reproFitTT") ## expect_equal(typeof(out), "list") ## expect_true(!is.null(out)) ## expect_true(any(!is.na(out))) ## }) ## })