diff --git a/tests/testthat/test-report.R b/tests/testthat/test-report.R index 54c0fbd..f911f0b 100644 --- a/tests/testthat/test-report.R +++ b/tests/testthat/test-report.R @@ -1,485 +1,536 @@ # 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 . test_that("PDF report for single-task data set without bootstrapping is created", { data <- rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1")) challenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") ranking %>% report(title="Test Challenge", file="testthat_single_task_no_bootstrapping", format="PDF", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_no_bootstrapping.pdf")) # Clean up if (file.exists("testthat_single_task_no_bootstrapping.pdf")) { file.remove("testthat_single_task_no_bootstrapping.pdf") } }) test_that("HTML report for single-task data set without bootstrapping is created", { data <- rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1")) challenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") ranking %>% report(title="Test Challenge", file="testthat_single_task_no_bootstrapping", format="HTML", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_no_bootstrapping.html")) # Clean up if (file.exists("testthat_single_task_no_bootstrapping.html")) { file.remove("testthat_single_task_no_bootstrapping.html") } }) test_that("Word report for single-task data set without bootstrapping is created", { data <- rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1")) challenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") ranking %>% report(title="Test Challenge", file="testthat_single_task_no_bootstrapping", format="Word", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_no_bootstrapping.docx")) # Clean up if (file.exists("testthat_single_task_no_bootstrapping.docx")) { file.remove("testthat_single_task_no_bootstrapping.docx") } }) test_that("PDF report for single-task data set with bootstrapping is created", { 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") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(title="Test Challenge", file="testthat_single_task_bootstrapping", format="PDF", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_bootstrapping.pdf")) # Clean up if (file.exists("testthat_single_task_bootstrapping.pdf")) { file.remove("testthat_single_task_bootstrapping.pdf") } }) test_that("HTML report for single-task data set with bootstrapping is created", { 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") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(title="Test Challenge", file="testthat_single_task_bootstrapping", format="HTML", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_bootstrapping.html")) # Clean up if (file.exists("testthat_single_task_bootstrapping.html")) { file.remove("testthat_single_task_bootstrapping.html") } }) test_that("Word report for single-task data set with bootstrapping is created", { 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") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(title="Test Challenge", file="testthat_single_task_bootstrapping", format="Word", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_single_task_bootstrapping.docx")) # Clean up if (file.exists("testthat_single_task_bootstrapping.docx")) { file.remove("testthat_single_task_bootstrapping.docx") } }) test_that("PDF report for multi-task data set without bootstrapping is created", { dataTask1 <- cbind(task="T1", rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1") )) dataTask2 <- cbind(task="T2", rbind( data.frame(algo="A1", value=0.2, case="C1"), data.frame(algo="A2", value=0.3, case="C1") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.8, case="C1") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") ranking %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_no_bootstrapping", format="PDF", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_no_bootstrapping.pdf")) # Clean up if (file.exists("testthat_multi_task_no_bootstrapping.pdf")) { file.remove("testthat_multi_task_no_bootstrapping.pdf") } }) test_that("HTML report for multi-task data set without bootstrapping is created", { dataTask1 <- cbind(task="T1", rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1") )) dataTask2 <- cbind(task="T2", rbind( data.frame(algo="A1", value=0.2, case="C1"), data.frame(algo="A2", value=0.3, case="C1") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.8, case="C1") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") ranking %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_no_bootstrapping", format="HTML", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_no_bootstrapping.html")) # Clean up if (file.exists("testthat_multi_task_no_bootstrapping.html")) { file.remove("testthat_multi_task_no_bootstrapping.html") } }) test_that("Word report for multi-task data set without bootstrapping is created", { dataTask1 <- cbind(task="T1", rbind( data.frame(algo="A1", value=0.8, case="C1"), data.frame(algo="A2", value=0.6, case="C1") )) dataTask2 <- cbind(task="T2", rbind( data.frame(algo="A1", value=0.2, case="C1"), data.frame(algo="A2", value=0.3, case="C1") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.8, case="C1") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") ranking %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_no_bootstrapping", format="Word", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_no_bootstrapping.docx")) # Clean up if (file.exists("testthat_multi_task_no_bootstrapping.docx")) { file.remove("testthat_multi_task_no_bootstrapping.docx") } }) test_that("PDF report for multi-task data set with bootstrapping is created", { 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") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.2, case="C1"), data.frame(algo="A3", value=0.3, case="C1"), data.frame(algo="A1", value=0.6, case="C2"), data.frame(algo="A2", value=0.7, case="C2"), data.frame(algo="A3", value=0.8, case="C2") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_bootstrapping", format="PDF", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_bootstrapping.pdf")) # Clean up if (file.exists("testthat_multi_task_bootstrapping.pdf")) { file.remove("testthat_multi_task_bootstrapping.pdf") } }) test_that("HTML report for multi-task data set with bootstrapping is created", { 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") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.2, case="C1"), data.frame(algo="A3", value=0.3, case="C1"), data.frame(algo="A1", value=0.6, case="C2"), data.frame(algo="A2", value=0.7, case="C2"), data.frame(algo="A3", value=0.8, case="C2") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_bootstrapping", format="HTML", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_bootstrapping.html")) # Clean up if (file.exists("testthat_multi_task_bootstrapping.html")) { file.remove("testthat_multi_task_bootstrapping.html") } }) test_that("Word report for multi-task data set with bootstrapping is created", { 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") )) dataTask3 <- cbind(task="T3", rbind( data.frame(algo="A1", value=0.1, case="C1"), data.frame(algo="A2", value=0.2, case="C1"), data.frame(algo="A3", value=0.3, case="C1"), data.frame(algo="A1", value=0.6, case="C2"), data.frame(algo="A2", value=0.7, case="C2"), data.frame(algo="A3", value=0.8, case="C2") )) data <- rbind(dataTask1, dataTask2, dataTask3) challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") meanRanks <- ranking%>%consensus(method = "euclidean") set.seed(1) rankingBootstrapped <- ranking%>%bootstrap(nboot=10) rankingBootstrapped %>% report(consensus=meanRanks, title="Test Challenge", file="testthat_multi_task_bootstrapping", format="Word", clean=TRUE, open=FALSE) expect_true(file.exists("testthat_multi_task_bootstrapping.docx")) # Clean up if (file.exists("testthat_multi_task_bootstrapping.docx")) { file.remove("testthat_multi_task_bootstrapping.docx") } }) + +test_that("PDF report for multi-task data set with bootstrapping is created (#algorithms < #tasks)", { + dataTask1 <- cbind(task="T1", + rbind( + data.frame(algo="A1", value=0.80, case="C1"), + data.frame(algo="A2", value=0.60, case="C1"), + data.frame(algo="A1", value=0.85, case="C2"), + data.frame(algo="A2", value=0.65, case="C2") + )) + dataTask2 <- cbind(task="T2", + rbind( + data.frame(algo="A1", value=0.20, case="C1"), + data.frame(algo="A2", value=0.30, case="C1"), + data.frame(algo="A1", value=0.25, case="C2"), + data.frame(algo="A2", value=0.35, case="C2") + )) + dataTask3 <- cbind(task="T3", + rbind( + data.frame(algo="A1", value=0.10, case="C1"), + data.frame(algo="A2", value=0.80, case="C1"), + data.frame(algo="A1", value=0.15, case="C2"), + data.frame(algo="A2", value=0.85, case="C2") + )) + + data <- rbind(dataTask1, dataTask2, dataTask3) + + challenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE) + + ranking <- challenge%>%aggregateThenRank(FUN=median, ties.method="min") + + meanRanks <- ranking%>%consensus(method = "euclidean") + + set.seed(1) + rankingBootstrapped <- ranking%>%bootstrap(nboot=10) + + rankingBootstrapped %>% + report(consensus=meanRanks, + title="Test Challenge", + file="testthat_multi_task_bootstrapping_more_tasks_than_algorithms", + format="PDF", + clean=TRUE, + open=FALSE) + + expect_true(file.exists("testthat_multi_task_bootstrapping_more_tasks_than_algorithms.pdf")) + + # Clean up + if (file.exists("testthat_multi_task_bootstrapping_more_tasks_than_algorithms.pdf")) { + file.remove("testthat_multi_task_bootstrapping_more_tasks_than_algorithms.pdf") + } + +})