tests/testthat/test-check_args.R

mtcars_test <- mtcars
mtcars_test$negnum <- range(-3, 2, 5)
mtcars_test$allna <- as.numeric(NA)
mtcars_test$somena <- rep(c(NA, 4))
mtcars_test$str <- "string"
mtcars_test$USUBJID <- row.names(mtcars_test)
test_eval <- "am"
test_that("checks for univar function correctly", {
  # df
  expect_visible(univar(mtcars_test, colvar = "gear", rowvar = "wt"))
  expect_visible(univar(mtcars_test, colvar = test_eval, rowvar = "wt"))
  expect_error(
    univar(c(1, 2), colvar = "gear", rowvar = "wt"), "Argument df to function univar should be type data.frame"
  )
  # rowvar
  expect_visible(univar(mtcars_test, colvar = "gear", rowvar = "somena"))
  expect_error(univar(mtcars_test, colvar = "gear", rowvar = "allna"))
  # geometric estimable check
  expect_error(univar(mtcars_test, colvar = "gear", rowvar = "negnum", statlist = statlist(c("GSD", "GSE"))))
  # wide bool check
  expect_visible(univar(mtcars_test, colvar = "gear", rowvar = "wt", wide = TRUE))
  expect_error(univar(mtcars_test, colvar = "gear", rowvar = "wt", wide = "str"))
  # check statlist
  expect_error(univar(mtcars_test, colvar = "gear", rowvar = "wt", statlist = statlist(c("NOT A STAT"))))
})

test_that("checks for freq function correctly", {
  # df
  expect_visible(freq(mtcars_test, colvar = "gear", rowvar = "cyl"))
  expect_visible(freq(mtcars_test, colvar = "gear", rowvar = test_eval))
  expect_error(freq(c(1, 2), colvar = "gear", rowvar = "cyl"), "")
})

test_that("checks for nested_freq function correctly", {
  # df
  expect_visible(nested_freq(mtcars_test, colvar = "gear", rowvar = "cyl*carb"))
  expect_visible(nested_freq(mtcars_test, colvar = test_eval, rowvar = "cyl*carb"))
  expect_error(
    nested_freq(c(1, 2), colvar = "gear", rowvar = "cyl*carb"),
    "Argument df to function nested_freq should be type data.frame"
  )
  # rowvar nesting
  expect_visible(nested_freq(mtcars_test, colvar = "gear", rowvar = "cyl*carb"))
  expect_visible(nested_freq(mtcars_test, colvar = "gear", rowvar = "cyl*carb*am"))
  expect_error(
    nested_freq(mtcars_test, colvar = "gear", rowvar = "cyl"),
    "Argument rowvar to function nested_freq is incorrectly formatted."
  )
  expect_error(
    nested_freq(mtcars_test, colvar = "gear", rowvar = "cyl*am*vs*disp"),
    "Argument rowvar to function nested_freq is incorrectly formatted."
  )
})

test_that("check updates to check gentlg", {
  basefreq <- freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", statlist = statlist(c("n")))

  suppressWarnings(
    expect_error(
      gentlg(
        huxme = basefreq,
        file = "vignettes/validation/test_code/test_code_output/test",
        title = "Test",
        format = "RTF",
        opath = "ERROR",
        colheader = c("Test", "One", "Two", "The")
      ),
      "opath 'ERROR' does not exist for function gentlg"
    )
  )

  expect_error(
    gentlg(
      huxme = basefreq,
      file = "vignettes/validation/test_code/test_code_output/test",
      title = "Test",
      format = "ERROR",
      colheader = c("Test", "One", "Two", "The")
    )
  )

  suppressWarnings(
    expect_error(
      gentlg(
        huxme = basefreq,
        file = "vignettes/validation/test_code/test_code_output/test",
        title = "Test",
        format = "RTF",
        wcol = c(1, 1),
        colheader = NA
      )
    ),
    "wcol's length must be 1 or the length of final output"
  )

  suppressWarnings(
    expect_error(
      gentlg(
        huxme = basefreq,
        tlf = "Figure",
        file = "vignettes/validation/test_code/test_code_output/test",
        title = "Test",
        format = "RTF",
        plotnames = "ERROR",
        colheader = NA
      ),
      "plotnames 'ERROR' does not exist for function gentlg"
    )
  )

  expect_error(
    gentlg(
      huxme = basefreq,
      tlf = "Figure",
      file = "vignettes/validation/test_code/test_code_output/test",
      title = "Test",
      format = "RTF",
      idvars = "ERROR",
      colheader = NA
    ),
    "idvars 'ERROR' does not exist in huxme or is all NA for function: gentlg"
  )

  expect_error(
    gentlg(
      huxme = basefreq,
      file = "vignettes/validation/test_code/test_code_output/test",
      title = "Test",
      format = "RTF",
      orientation = "ERROR"
    ),
    "orientation 'ERROR' is not either 'landscape' or 'portrait' for function gentlg"
  )
})

test_that("test freq update", {
  expect_error(
    freq(cdisc_adsl, rowvar = "RACE", colvar = NA, statlist = statlist(c("n"))),
    "colvar to function freq should be type character"
  )

  expect_error(
    suppressWarnings(freq(cdisc_adsl, rowvar = "RACE", colvar = "", statlist = statlist(c("n")))),
    "colvar '' does not exist in df or is all NA for function: freq"
  )

  expect_error(
    suppressWarnings(freq(cdisc_adsl, rowvar = "RACE", colvar = "MISSING", statlist = statlist(c("n")))),
    "colvar 'MISSING' does not exist in df or is all NA for function: freq"
  )

  expect_error(
    suppressWarnings(freq(cdisc_adsl, rowvar = NA, colvar = "RACE", statlist = statlist(c("n")))),
    "Argument rowvar to function freq should be type character"
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "", colvar = "RACE", statlist = statlist(c("n"))),
    "rowvar '' does not exist in df or is all NA for function: freq"
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "MISSING", colvar = "RACE", statlist = statlist(c("n"))),
    "rowvar 'MISSING' does not exist in df or is all NA for function: freq"
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "RACE", colvar = "TRT01P", tablebyvar = "MISSING", statlist = statlist(c("n"))),
    "tablebyvar 'MISSING' does not exist in df or is all NA for function: freq"
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "RACE", colvar = "TRT01P", rowbyvar = "MISSING", statlist = statlist(c("n"))),
    "rowbyvar 'MISSING' does not exist in df or is all NA for function: freq"
  )

  expect_error(freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", statlist = statlist(c("N"))))

  expect_error(freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", statlist = statlist(c())))
  expect_error(freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", statlist = statlist(c("ERROR"))))

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "ITTFL"),
    paste0(
      paste0(c("colvar", "rowvar"), collapse = ", "), " all have value ", "ITTFL", " for function ", "freq", "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", rowbyvar = "ITTFL"),
    paste0(
      paste0(c("rowvar", "rowbyvar"), collapse = ", "), " all have value ", "ITTFL", " for function ", "freq", "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", tablebyvar = "ITTFL"),
    paste0(
      paste0(c("tablebyvar", "rowvar"), collapse = ", "), " all have value ", "ITTFL", " for function ", "freq", "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", rowbyvar = "TRT01PN"),
    paste0(
      paste0(c("colvar", "rowbyvar"), collapse = ", "), " all have value ", "TRT01PN", " for function ", "freq", "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", rowbyvar = "TRT01PN"),
    paste0(
      paste0(c("colvar", "rowbyvar"), collapse = ", "), " all have value ", "TRT01PN", " for function ", "freq", "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", tablebyvar = "TRT01PN"),
    paste0(
      paste0(c("colvar", "tablebyvar"), collapse = ", "),
      " all have value ",
      "TRT01PN",
      " for function ",
      "freq",
      "\n\n"
    )
  )

  expect_error(
    freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", rowbyvar = "SEX", tablebyvar = "SEX"),
    paste0(
      paste0(c("tablebyvar", "rowbyvar"), collapse = ", "), " all have value ", "SEX", " for function ", "freq", "\n\n"
    )
  )
})

#' @editor Aidan Ceney
#' @editDate 2022-03-02
test_that("Test univar new checks", {
  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = NULL,
      rowvar = "AVAL",
      statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
      alpha = .10
    ),
    "Argument colvar to function univar is required but no value has been supplied"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = NULL,
      statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
      alpha = .10
    ),
    "Argument rowvar to function univar is required but no value has been supplied"
  )

  expect_error( # Supress addtional warning
    suppressWarnings({
      univar(
        cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
        colvar = "MISSING",
        rowvar = "AVAL",
        statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
        alpha = .10
      )
    }), "colvar 'MISSING' does not exist in df or is all NA for function: univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "MISSING",
      statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
      alpha = .10
    ),
    "rowvar 'MISSING' does not exist in df or is all NA for function: univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      tablebyvar = "MISSING",
      statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
      alpha = .10
    ),
    "tablebyvar 'MISSING' does not exist in df or is all NA for function: univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      rowbyvar = "MISSING",
      statlist = statlist(c("N", "MEAN_CI", "MIN", "MAX")),
      alpha = .10
    ),
    "rowbyvar 'MISSING' does not exist in df or is all NA for function: univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      statlist = statlist(c()),
      alpha = .10
    )
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      statlist = statlist(c("")),
      alpha = .10
    )
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      statlist = statlist(c("ERROR")),
      alpha = .10
    )
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      tablebyvar = "TRTA",
      alpha = .10
    ),
    "colvar, tablebyvar all have value TRTA for function univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      rowbyvar = "TRTA",
      alpha = .10
    ),
    "colvar, rowbyvar all have value TRTA for function univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      rowbyvar = "SEX",
      tablebyvar = "SEX",
      alpha = .10
    ),
    "tablebyvar, rowbyvar all have value SEX for function univar"
  )

  expect_error(
    univar(cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")), colvar = "TRTA", rowvar = "AVAL", alpha = 1.5),
    "alpha must be a number in between 0 and 1 for function univar"
  )

  expect_error(
    univar(cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")), colvar = "TRTA", rowvar = "AVAL", alpha = -.5),
    "alpha must be a number in between 0 and 1 for function univar"
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA", rowvar = "AVAL", precisionby = "SEX"
    )
  )

  expect_error(
    univar(
      cdisc_advs %>% filter(PARAMCD %in% c("HEIGHT", "WEIGHT")),
      colvar = "TRTA",
      rowvar = "AVAL",
      precisionon = "MISSING"
    ),
    "precisionon 'MISSING' does not exist in df or is all NA for function: univar"
  )
})

test_that("new check errors nested freq", {
  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*RACE", colvar = NA, statlist = statlist(c("n"))),
    "Argument colvar to function nested_freq should be type character"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "RACE", colvar = "", statlist = statlist(c("n"))),
    "Argument rowvar to function nested_freq is incorrectly formatted."
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*RACE", colvar = "MISSING", statlist = statlist(c("n"))),
    "colvar 'MISSING' does not exist in df or is all NA for function: nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = NA, colvar = "RACE", statlist = statlist(c("n"))),
    "Argument rowvar to function nested_freq should be type character"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "", colvar = "RACE", statlist = statlist(c("n"))),
    "Argument rowvar to function nested_freq is incorrectly formatted."
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "MISSING", colvar = "RACE", statlist = statlist(c("n"))),
    "Argument rowvar to function nested_freq is incorrectly formatted."
  )

  expect_error(
    nested_freq(
      cdisc_adsl,
      rowvar = "STUDYID*RACE", colvar = "TRT01P", tablebyvar = "MISSING", statlist = statlist(c("n"))
    ),
    "tablebyvar 'MISSING' does not exist in df or is all NA for function: nested_freq"
  )

  expect_error(
    nested_freq(
      cdisc_adsl,
      rowvar = "STUDYID*RACE", colvar = "TRT01P", rowbyvar = "MISSING", statlist = statlist(c("n"))
    ),
    "rowbyvar 'MISSING' does not exist in df or is all NA for function: nested_freq"
  )

  expect_error(nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", statlist = statlist(c("N"))))
  expect_error(nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", statlist = statlist(c())))
  expect_error(nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", statlist = statlist(c("ERROR"))))

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", cutoff = 2, cutoff_stat = "ERROR"),
    "Cutoff stat ERROR for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "ITTFL"),
    "colvar, nested rowvar 2 all have value ITTFL for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", rowbyvar = "ITTFL"),
    "rowbyvar, nested rowvar 2 all have value ITTFL for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", tablebyvar = "ITTFL"),
    "tablebyvar, nested rowvar 2 all have value ITTFL for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", rowbyvar = "TRT01PN"),
    "colvar, rowbyvar all have value TRT01PN for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", rowbyvar = "TRT01PN"),
    "colvar, rowbyvar all have value TRT01PN for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", tablebyvar = "TRT01PN"),
    "tablebyvar all have value TRT01PN for function nested_freq"
  )

  expect_error(
    nested_freq(cdisc_adsl, rowvar = "STUDYID*ITTFL", colvar = "TRT01PN", rowbyvar = "SEX", tablebyvar = "SEX"),
    "tablebyvar, rowbyvar all have value SEX for function nested_freq"
  )
})

test_that("Errors for check generate results", {
  expect_error(generate_results(NULL))

  expect_error(generate_results(table_metadata))

  expect_error(generate_results(tibble::tribble(~Test, ~tbltype, "TEST", "Test")))

  table_metadata <- tibble::tribble(
    ~anbr, ~func, ~tbltype, ~df, ~colvar, ~rowvar, 1, "freq", "Test", "Missing", "TRT01PN", "ITTFL"
  )
  col_metadata <- tibble::tribble(
    ~tbltype, ~coldef, ~decode, ~span1, "Test", "Xanomeline High Dose", "High Dose", "Xanomeline"
  )
  expect_error(
    generate_results(
      tibble::tribble(~anbr, ~func, ~tbltype, ~df, ~colvar, ~rowvar, 1, "freq", "Test", "Missing", "TRT01PN", "ITTFL"),
      column_metadata = col_metadata,
      tbltype = "Test"
    )
  )

  table_metadata <- tibble::tribble(
    ~anbr, ~func, ~tbltype, ~df, ~colvar, ~rowvar, 1, "ERROR", "Test", "cdisc_adsl", "TRT01PN", "ITTFL"
  )
  col_metadata <- tibble::tribble(
    ~tbltype, ~coldef, ~decode, ~span1, "Test", "Xanomeline High Dose", "High Dose", "Xanomeline"
  )
  expect_error(
    generate_results(
      tibble::tribble(
        ~anbr, ~func, ~tbltype, ~df, ~colvar, ~rowvar, 1, "ERROR", "Test", "cdisc_adsl", "TRT01PN", "ITTFL"
      ),
      column_metadata = col_metadata,
      tbltype = "Test"
    )
  )
})

test_that("Test add_format", {
  basefreq <- freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN", statlist = statlist(c("n")))

  expect_error(
    basefreq %>% add_format(tableby = ""), "tableby '' does not exist in df or is all NA for function: add_format"
  )
  expect_error(
    basefreq %>% add_format(tableby = NA), "Argument tableby to function add_format should be type character"
  )
  expect_error(
    basefreq %>% add_format(tableby = "MISSING"),
    "tableby 'MISSING' does not exist in df or is all NA for function: add_format"
  )
  expect_error(
    basefreq %>% add_format(groupby = ""), "groupby '' does not exist in df or is all NA for function: add_format"
  )
  expect_error(
    basefreq %>% add_format(groupby = NA), "Argument groupby to function add_format should be type character"
  )
  expect_error(
    basefreq %>% add_format(groupby = "MISSING"),
    "groupby 'MISSING' does not exist in df or is all NA for function: add_format"
  )

  expect_error(basefreq %>% dplyr::select(-row_type) %>% add_format(), "Reqiured fields anbr,  for function add_format")
})

test_that("Sparse dfs pass check_wcol works as expected with sparse dfs", {
  a_freq <- freq(cdisc_adsl, rowvar = "ITTFL", colvar = "TRT01PN") %>% select(-c("row_type", "group_level"))

  expect_equal(check_wcol(a_freq, c(1, 1, 1, 1)), NULL)
})

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tidytlg documentation built on Dec. 19, 2025, 9:07 a.m.