# 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("empty attribute 'taskName' raises error for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C1"))
expect_error(as.challenge(data, taskName="", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Argument 'taskName' is empty.", fixed=TRUE)
})
test_that("only whitespaces in attribute 'taskName' raises error for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C1"))
expect_error(as.challenge(data, taskName=" ", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Argument 'taskName' is empty.", fixed=TRUE)
})
test_that("attributes are set for single-task challenge with specified task name", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C1"))
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE)
expect_equal(attr(actualChallenge, "annotator"), NULL)
expect_equal(attr(actualChallenge, "by"), "task")
expect_equal(attr(actualChallenge, "smallBetter"), FALSE)
expect_equal(attr(actualChallenge, "check"), TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C1"))
expect_equal(as.vector(actualChallenge$T1$task), c("T1", "T1"))
# expect that there's no attribute "task"
expect_equal(attr(actualChallenge, "task"), NULL)
expect_equal(attr(actualChallenge$T1, "task"), NULL)
expect_equal(attr(actualChallenge$T2, "task"), NULL)
})
test_that("attributes are set for single-task challenge with dummy task name", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C1"))
actualChallenge <- as.challenge(data, algorithm="algo", case="case", value="value", smallBetter=FALSE)
expect_equal(attr(actualChallenge, "annotator"), NULL)
expect_equal(attr(actualChallenge, "by"), "task")
expect_equal(attr(actualChallenge, "smallBetter"), FALSE)
expect_equal(attr(actualChallenge, "check"), TRUE)
expect_equal(as.vector(actualChallenge$dummyTask$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$dummyTask$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$dummyTask$case), c("C1", "C1"))
expect_equal(as.vector(actualChallenge$dummyTask$task), c("dummyTask", "dummyTask"))
# expect that there's no attribute "task"
expect_equal(attr(actualChallenge, "task"), NULL)
expect_equal(attr(actualChallenge$dummyTask, "task"), NULL)
expect_equal(attr(actualChallenge$dummyTask, "task"), NULL)
})
test_that("leading and trailing whitespaces are trimmed for attribute 'taskName'", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C1"))
actualChallenge <- as.challenge(data, taskName=" T1 ", algorithm="algo", case="case", value="value", smallBetter=FALSE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
})
test_that("attributes are set for multi-task challenge", {
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")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=TRUE)
expect_equal(attr(actualChallenge, "annotator"), NULL)
expect_equal(attr(actualChallenge, "by"), "task")
expect_equal(attr(actualChallenge, "smallBetter"), TRUE)
expect_equal(attr(actualChallenge, "check"), TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C1"))
expect_equal(as.vector(actualChallenge$T1$task), c("T1", "T1"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.2, 0.3))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C1"))
expect_equal(as.vector(actualChallenge$T2$task), c("T2", "T2"))
# expect that there's no attribute "task"
expect_equal(attr(actualChallenge, "task"), NULL)
expect_equal(attr(actualChallenge$T1, "task"), NULL)
expect_equal(attr(actualChallenge$T2, "task"), NULL)
})
test_that("attributes are set for multi-task challenge with sanity check disabled", {
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")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=TRUE, check=FALSE)
expect_equal(attr(actualChallenge, "annotator"), NULL)
expect_equal(attr(actualChallenge, "by"), "task")
expect_equal(attr(actualChallenge, "smallBetter"), TRUE)
expect_equal(attr(actualChallenge, "check"), FALSE)
expect_equal(as.vector(actualChallenge$algo), c("A1", "A2", "A1", "A2"))
expect_equal(as.vector(actualChallenge$value), c(0.8, 0.6, 0.2, 0.3))
expect_equal(as.vector(actualChallenge$case), c("C1", "C1", "C1", "C1"))
expect_equal(as.vector(actualChallenge$task), c("T1", "T1", "T2", "T2"))
})
test_that("attribute 'taskName' is ignored for multi-task challenge", {
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")
))
data <- rbind(dataTask1, dataTask2)
expect_warning(as.challenge(data, taskName="T1", by="task", algorithm="algo", case="case", value="value", smallBetter=TRUE),
"Argument 'taskName' is ignored for multi-task data set.", fixed=TRUE)
})
test_that("missing algorithm performances are added as NAs for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2"))
expect_message(actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Performance of not all algorithms has been observed for all cases.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, NA, NA, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
expect_equal(as.vector(actualChallenge$T1$task), c("T1", "T1", "T1", "T1"))
})
test_that("multi-task data set containing one task is interpreted as single-task data set, missing algorithm performances are added", {
data <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2")
))
# do not specify parameter "by" to interpret multi-task data set as single-task data set
expect_message(actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Performance of not all algorithms has been observed for all cases.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, NA, NA, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
})
test_that("missing algorithm performances are added as NAs for multi-task challenge (2 tasks in data set)", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.2, case="C1"),
data.frame(algo="A1", value=0.3, case="C2"),
data.frame(algo="A2", value=0.4, case="C1")
))
data <- rbind(dataTask1, dataTask2)
expect_message(actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Performance of not all algorithms has been observed for all cases in task 'T1'.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, NA, NA, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
expect_equal(as.vector(actualChallenge$T1$task), c("T1", "T1", "T1", "T1"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.2, 0.3, 0.4, NA))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C2", "C1", "C2"))
expect_equal(as.vector(actualChallenge$T2$task), c("T2", "T2", "T2", "T2"))
})
test_that("missing algorithm performances are not added as NA with sanity check disabled for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2"))
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, check=FALSE)
expect_equal(as.vector(actualChallenge$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$case), c("C1", "C2"))
})
test_that("missing algorithm performances are not added as NA with sanity check disabled for multi-task challenge (2 tasks in data set)", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.2, case="C1"),
data.frame(algo="A1", value=0.3, case="C2"),
data.frame(algo="A2", value=0.4, case="C1")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, check=FALSE)
expect_equal(as.vector(actualChallenge$algo), c("A1", "A2", "A1", "A1", "A2"))
expect_equal(as.vector(actualChallenge$value), c(0.8, 0.6, 0.2, 0.3, 0.4))
expect_equal(as.vector(actualChallenge$case), c("C1", "C2", "C1", "C2", "C1"))
})
test_that("case cannot appear more than once per algorithm for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1"))
expect_error(as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1", fixed=TRUE)
})
test_that("multi-task data set containing one task is interpreted as single-task data set, case cannot appear more than once per algorithm", {
data <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1")
))
# do not specify parameter "by" to interpret multi-task data set as single-task data set
expect_error(as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1", fixed=TRUE)
})
test_that("case cannot appear more than once per algorithm for multi-task challenge (1 task in data set)", {
data <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1")
))
expect_error(as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1", fixed=TRUE)
})
test_that("cases cannot appear more than once per algorithm for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.7, case="C1"),
data.frame(algo="A1", value=0.5, case="C2"),
data.frame(algo="A2", value=0.6, case="C2"),
data.frame(algo="A2", value=0.6, case="C2"))
expect_error(as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1, C2", fixed=TRUE)
})
test_that("cases cannot appear more than once per algorithm for multi-task challenge (1 task in data set)", {
data <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.7, case="C1"),
data.frame(algo="A1", value=0.5, case="C2"),
data.frame(algo="A2", value=0.6, case="C2"),
data.frame(algo="A2", value=0.6, case="C2")
))
expect_error(as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1, C2", fixed=TRUE)
})
test_that("cases cannot appear more than once per algorithm for multi-task challenge (2 tasks in data set)", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1") # let T1 pass
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.7, case="C1"),
data.frame(algo="A1", value=0.5, case="C2"),
data.frame(algo="A2", value=0.6, case="C2"),
data.frame(algo="A2", value=0.6, case="C2")
))
data <- rbind(dataTask1, dataTask2)
expect_error(as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm in task 'T2'. Please revise.\nCase(s): C1, C2", fixed=TRUE)
})
test_that("cases cannot appear more than once per algorithm when missing data was added for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2"),
data.frame(algo="A2", value=0.6, case="C2"))
expect_error(as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1, C2", fixed=TRUE)
})
test_that("user is notified of duplicate cases when multi-task data set is interpreted as single-task data set (2 tasks in data set)", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.8, case="C1")
))
data <- rbind(dataTask1, dataTask2)
# do not specify parameter "by" to interpret multi-task data set as single-task data set
expect_error(as.challenge(data, taskName="New task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"The following case(s) appear(s) more than once for the same algorithm. Please revise. Or are you considering a multi-task challenge and forgot to specify argument 'by'?\nCase(s): C1", fixed=TRUE)
})
test_that("user is notified of missing algorithm performance when multi-task data set is interpreted as single-task data set (2 tasks in data set)", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A2", value=0.6, case="C2")
))
data <- rbind(dataTask1, dataTask2)
# do not specify parameter "by" to interpret multi-task data set as single-task data set
expect_message(as.challenge(data, taskName="New task", algorithm="algo", case="case", value="value", smallBetter=FALSE),
"Performance of not all algorithms has been observed for all cases.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
})
test_that("NAs are replaced by numeric value for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2"),
data.frame(algo="A2", value=0.6, case="C1"),
data.frame(algo="A2", value=NA, case="C2"))
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=0)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.0, 0.6, 0.0))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
})
test_that("NAs are replaced by numeric value for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A2", value=NA, case="C1"),
data.frame(algo="A2", value=0.5, case="C2")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=0)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.0))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A2", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.0, 0.5))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C2"))
})
test_that("NAs are replaced by function value for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2"),
data.frame(algo="A2", value=0.6, case="C1"),
data.frame(algo="A2", value=NA, case="C2"))
replacementFunction <- function(x) { 2 }
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=replacementFunction)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 2.0, 0.6, 2.0))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
})
test_that("NAs are replaced by function value for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A2", value=NA, case="C1"),
data.frame(algo="A2", value=0.5, case="C2")
))
data <- rbind(dataTask1, dataTask2)
replacementFunction <- function(x) { 2 }
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=replacementFunction)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 2.0))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A2", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(2.0, 0.5))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C2"))
})
test_that("NAs are removed for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2"),
data.frame(algo="A2", value=0.6, case="C1"),
data.frame(algo="A2", value=NA, case="C2"))
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat="na.rm")
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C1"))
})
test_that("NAs are removed for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=NA, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A2", value=NA, case="C1"),
data.frame(algo="A2", value=0.5, case="C2")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat="na.rm")
expect_equal(as.vector(actualChallenge$T1$algo), c("A1"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8))
expect_equal(as.vector(actualChallenge$T1$case), c("C1"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.5))
expect_equal(as.vector(actualChallenge$T2$case), c("C2"))
})
test_that("automatically added NAs are replaced by numeric value for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2"))
expect_message(actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=0),
"Performance of not all algorithms has been observed for all cases.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.0, 0.0, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
})
test_that("automatically added NAs are replaced by numeric value for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.2, case="C1"),
data.frame(algo="A1", value=0.3, case="C2"),
data.frame(algo="A2", value=0.4, case="C1")
))
data <- rbind(dataTask1, dataTask2)
expect_message(actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=0),
"Performance of not all algorithms has been observed for all cases in task 'T1'.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.0, 0.0, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2", "C1", "C2"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A1", "A1", "A2", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.2, 0.3, 0.4, 0.0))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C2", "C1", "C2"))
})
test_that("automatically added NAs are removed for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2"))
expect_message(actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat="na.rm"),
"Performance of not all algorithms has been observed for all cases.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2"))
})
test_that("automatically added NAs are removed for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A2", value=0.6, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.2, case="C1"),
data.frame(algo="A1", value=0.3, case="C2"),
data.frame(algo="A2", value=0.4, case="C1")
))
data <- rbind(dataTask1, dataTask2)
expect_message(actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat="na.rm"),
"Performance of not all algorithms has been observed for all cases in task 'T1'.\nTherefore, missings have been inserted in the following cases:", fixed=TRUE)
expect_equal(as.vector(actualChallenge$T1$algo), c("A1", "A2"))
expect_equal(as.vector(actualChallenge$T1$value), c(0.8, 0.6))
expect_equal(as.vector(actualChallenge$T1$case), c("C1", "C2"))
expect_equal(as.vector(actualChallenge$T2$algo), c("A1", "A1", "A2"))
expect_equal(as.vector(actualChallenge$T2$value), c(0.2, 0.3, 0.4))
expect_equal(as.vector(actualChallenge$T2$case), c("C1", "C2", "C1"))
})
test_that("class of 'algorithm' column must be 'factor' for single-task challenge", {
data <- rbind(
data.frame(algo="A1", value=0.8, case="C1"),
data.frame(algo="A1", value=0.7, case="C2"),
data.frame(algo="A2", value=0.6, case="C1"),
data.frame(algo="A2", value=0.5, case="C2"))
actualChallenge <- as.challenge(data, taskName="T1", algorithm="algo", case="case", value="value", smallBetter=FALSE, na.treat=0)
expect_equal(class(actualChallenge$T1$algo), "factor")
})
test_that("class of 'algorithm' column must be 'factor' for multi-task challenge", {
dataTask1 <- cbind(task="T1",
rbind(
data.frame(algo="A1", value=0.81, case="C1"),
data.frame(algo="A2", value=0.72, case="C1"),
data.frame(algo="A1", value=0.65, case="C2"),
data.frame(algo="A2", value=0.95, case="C2")
))
dataTask2 <- cbind(task="T2",
rbind(
data.frame(algo="A1", value=0.75, case="C1"),
data.frame(algo="A2", value=0.82, case="C1"),
data.frame(algo="A1", value=0.66, case="C2"),
data.frame(algo="A2", value=0.84, case="C2")
))
data <- rbind(dataTask1, dataTask2)
actualChallenge <- as.challenge(data, by="task", algorithm="algo", case="case", value="value", smallBetter=TRUE)
expect_equal(class(actualChallenge$T1$algo), "factor")
expect_equal(class(actualChallenge$T2$algo), "factor")
})
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