# context("make-pairwise-plots")
#
#
# data <- openxlsx::read.xlsx("tests/testdata/Study1.xlsx") %>%
# tidyr::pivot_longer(cols = dplyr::starts_with("Attribute"),
# names_to = "Attribute_Name",
# values_to = "Attribute_Value") %>%
# dplyr::mutate(Study = "Study1")
#
#
# #manage_cases()
#
#
# test_that("makePairwisePlot generates a list", {
# expect_match(typeof(makePairwisePlot("Attribute11_Scaled", "Attribute12_Scaled", data)), "list")
# })
#
# test_that("makePairwisePlot generates a plot", {
# vdiffr::expect_doppelganger(title="rplot001", makePairwisePlot("Attribute11_Scaled", "Attribute12_Scaled", data))
# })
# test_that("elements of the list are correct",{
# expect_equal()
#
# test_that("makePairwisePlot generates a plot", {
# expect_doppelganger(title = "test plot", fig = plot, path = file.path("tests", "fig"))
# })
#
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