#-------------------------------------------------------------------------------
# Copyright (c) 2018-2022 University of Newcastle upon Tyne. All rights reserved.
#
# This program and the accompanying materials
# are made available under the terms of the GNU Public License v3.0.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#-------------------------------------------------------------------------------
#
# Set up
#
context("ds.skewness::arg::setup")
connect.studies.dataset.cnsim(list("LAB_TSC"))
test_that("setup", {
ds_expect_variables(c("D"))
})
#
# Tests
#
context("ds.skewness::arg::test errors")
test_that("skewness_erros", {
expect_error(ds.skewness(), "Please provide the name of the input vector!", fixed=TRUE)
expect_error(ds.skewness(x='D$LAB_TSC', type='datashield'), "Function argument \"type\" has to be either \"both\", \"combine\" or \"split\"", fixed=TRUE)
expect_error(ds.skewness(x='D$LAB_TSC', method="0"), "method must be an integer between 1 and 3", fixed=TRUE)
expect_error(ds.skewness(x='D$LAB_TSC', method="4"), "method must be an integer between 1 and 3", fixed=TRUE)
})
#
# Done
#
context("ds.skewness::arg::shutdown")
test_that("shutdown", {
ds_expect_variables(c("D"))
})
disconnect.studies.dataset.cnsim()
context("ds.skewness::arg::done")
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