tests/testthat/test-boxplot.R

In wiesenfa/challengeR: Analyzing assessment data of biomedical image analysis competitions and visualization of results

# Copyright (c) German Cancer Research Center (DKFZ)
# All rights reserved.
#
# This file is part of challengeR.
#
# challengeR is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# challengeR is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with challengeR. If not, see <https://www.gnu.org/licenses/>.

test_that("boxplot for ranked single-task data set has no title", {
  data <- rbind(
    data.frame(algo="A1", value=0.8, case="C1"),
    data.frame(algo="A2", value=0.6, case="C1"),
    data.frame(algo="A3", value=0.4, case="C1"),
    data.frame(algo="A1", value=0.2, case="C2"),
    data.frame(algo="A2", value=0.1, case="C2"),
    data.frame(algo="A3", value=0.0, case="C2"))

  challenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE)

  ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min")

  actualPlot <- boxplot(ranking)
  expect_is(actualPlot, "ggplot")
  expect_equal(actualPlot$labels$title, NULL)
})

test_that("boxplots for ranked multi-task data set have titles", {
  dataTask1 <- cbind(task="T1",
                     rbind(
                        data.frame(algo="A1", value=0.8, case="C1"),
                        data.frame(algo="A2", value=0.6, case="C1"),
                        data.frame(algo="A3", value=0.4, case="C1"),
                        data.frame(algo="A1", value=0.2, case="C2"),
                        data.frame(algo="A2", value=0.1, case="C2"),
                        data.frame(algo="A3", value=0.0, case="C2")
                      ))
   dataTask2 <- cbind(task="T2",
                      rbind(
                        data.frame(algo="A1", value=0.2, case="C1"),
                        data.frame(algo="A2", value=0.3, case="C1"),
                        data.frame(algo="A3", value=0.4, case="C1"),
                        data.frame(algo="A1", value=0.7, case="C2"),
                        data.frame(algo="A2", value=0.8, case="C2"),
                        data.frame(algo="A3", value=0.9, case="C2")
                      ))

   data <- rbind(dataTask1, dataTask2)

   challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE)

   ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min")

   actualPlots <- boxplot(ranking)
   actualPlotTask1 <- actualPlots[[1]]
   actualPlotTask2 <- actualPlots[[2]]

   expect_is(actualPlotTask1, "ggplot")
   expect_equal(actualPlotTask1$labels$title, "T1")

   expect_is(actualPlotTask2, "ggplot")
   expect_equal(actualPlotTask2$labels$title, "T2")
})