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# MixtComp version 4 - july 2019
# Copyright (C) Inria - Université de Lille - CNRS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This program 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 Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>
# @author Quentin Grimonprez
context("Format functions")
test_that("createFunctional works with void element", {
time <- NULL
data <- NULL
expectedOut <- ""
out <- createFunctional(time, data)
expect_equal(out, expectedOut)
time <- c()
data <- c()
expectedOut <- ""
out <- createFunctional(time, data)
expect_equal(out, expectedOut)
})
test_that("createFunctional works with vectors of different size", {
time <- c(1, 2, 3, 4, 5)
data <- c(1.2, 3.33, 8.99, 7.87, 14.58, 16, 45)
expectedOut <- "1:1.2,2:3.33,3:8.99,4:7.87,5:14.58"
expect_warning(out <- createFunctional(time, data))
expect_equal(out, expectedOut)
})
test_that("createFunctional remove NA", {
time <- c(1, 2, NA, 4, 5)
data <- c(NA, 3.33, 8.99, 7.87, 14.58, 16, 45)
expectedOut <- "2:3.33,4:7.87,5:14.58"
expect_warning(out <- createFunctional(time, data))
expect_equal(out, expectedOut)
})
test_that("createFunctional works", {
time <- c(1)
data <- c(42)
expectedOut <- "1:42"
out <- createFunctional(time, data)
expect_equal(out, expectedOut)
time <- c(1, 2)
data <- c(3.33, 8.99)
expectedOut <- "1:3.33,2:8.99"
expect_warning(out <- createFunctional(time, data), regexp = NA)
expect_equal(out, expectedOut)
})
test_that("convertFunctionalToVector works with a void string", {
chaine <- ""
expectedOut <- list(time = c(), value = c())
out <- convertFunctionalToVector(chaine)
expect_equal(out, expectedOut)
chaine <- NA
out <- convertFunctionalToVector(chaine)
expect_equal(out, expectedOut)
chaine <- NULL
out <- convertFunctionalToVector(chaine)
expect_equal(out, expectedOut)
})
test_that("convertFunctionalToVector works", {
chaine <- "1:42"
expectedOut <- list(time = 1, value = 42)
out <- convertFunctionalToVector(chaine)
expect_equal(out, expectedOut)
chaine <- "1:42,2:43,3:44,4:46,5:87,6:100"
expectedOut <- list(time = c(1, 2, 3, 4, 5, 6), value = c(42, 43, 44, 46, 87, 100))
out <- convertFunctionalToVector(chaine)
expect_equal(out, expectedOut)
})
test_that("refactorCategorical works when oldCateg and newCateg do not have common elements", {
x <- letters
oldCateg <- letters
newCateg <- seq_along(oldCateg)
expectedOut <- newCateg
out <- refactorCategorical(x, oldCateg, newCateg)
expect_equal(out, expectedOut)
})
test_that("refactorCategorical works when oldCateg and newCateg have common elements", {
x <- as.character(0:10)
oldCateg <- as.character(0:10)
newCateg <- 1:11
expectedOut <- newCateg
out <- refactorCategorical(x, oldCateg, newCateg)
expect_equal(out, expectedOut)
})
test_that("refactorCategorical works when some categories are merged", {
x <- letters[1:6]
oldCateg <- letters[1:6]
newCateg <- rep(c("voyelle", "consonne", "voyelle", "consonne"), c(1, 3, 1, 1))
expectedOut <- newCateg
out <- refactorCategorical(x, oldCateg, newCateg)
expect_equal(out, expectedOut)
})
test_that("refactorCategorical works when there are categories not included in the data", {
x <- letters[1:6]
oldCateg <- letters[1:7]
newCateg <- rep(c("voyelle", "consonne", "voyelle", "consonne"), c(1, 3, 1, 2))
expectedOut <- newCateg[1:6]
expect_warning(out <- refactorCategorical(x, oldCateg, newCateg), regexp = NA)
expect_equal(out, expectedOut)
x <- letters[1:7]
oldCateg <- letters[1:6]
newCateg <- rep(c("voyelle", "consonne", "voyelle", "consonne"), c(1, 3, 1, 1))
expectedOut <- c(newCateg[1:6], NA)
expect_warning(out <- refactorCategorical(x, oldCateg, newCateg))
expect_equal(out, expectedOut)
})
test_that("refactorCategorical kept NA values in data", {
x <- c(letters[1:6], NA)
oldCateg <- letters[1:6]
newCateg <- rep(c("voyelle", "consonne", "voyelle", "consonne"), c(1, 3, 1, 1))
expectedOut <- c(newCateg[1:6], NA)
expect_warning(out <- refactorCategorical(x, oldCateg, newCateg), regexp = NA)
expect_equal(out, expectedOut)
})
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