#-------------------------------------------------------------------------------
# Copyright (c) 2019-2022 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/>.
#-------------------------------------------------------------------------------
context("ds.table::math::row and col proportions::multiple")
test_that("row and col proportions sum to 1",
{
connect.testing.group.dataset.1()
server.result <- ds.table("D$COLOURS", "D$POSITIVE.NUMBERS")
##when 2 studies being combined for table: $output.list gets the tables part,
# [[1]] is study 1 row props
# [[2]] is study 1 col props
# [[3]] is study 2 row props
# [[4]] is study 2 col props
# [[5]] is combined study row props
# [[6]] is combined study col props
# [[7]] onwards is counts (study 1, study 2, combined)
#colprops
for(k in c(2,4,6)){
for (j in 1:4) {
study1_col_totals=0
for (i in 1:5){
study1_col_totals=study1_col_totals+ server.result[1]$output.list[[k]][[i,j]]
}
expect_equal(study1_col_totals,1,tolerance =2*10^-3)
}
}
#rowprops
for(k in c(1,3,5)){
for (i in 1:5){
study1_row_totals=0
for (j in 1:4){
study1_row_totals=study1_row_totals+server.result[1]$output.list[[k]][[i,j]]
}
expect_equal(study1_row_totals,1,tolerance =2*10^-3)
}
}
disconnect.testing.group.dataset.1()
}
)
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