#-------------------------------------------------------------------------------
# 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
#
connect.studies.dataset.cnsim(list('LAB_HDL'))
#
# Tests
#
context("ds.quantileMean::arg::test errors")
ds.asCharacter(x='D$LAB_HDL', newobj="not_a_numeric")
test_that("quantileMean_erros", {
expect_error(ds.quantileMean(), "Please provide the name of the input vector!", fixed=TRUE)
expect_error(ds.quantileMean(x='D$LAB_HDL', type='datashield'), 'Function argument "type" has to be either "combine" or "split"', fixed=TRUE)
expect_error(ds.quantileMean(x='not_a_numeric'), "The input object must be an integer or numeric vector.", fixed=TRUE)
})
#
# Tear down
#
disconnect.studies.dataset.cnsim()
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