test_that("ImputeBaseline works", {
out <- ImputeBaseline(data = ADImpute::demo_data)
# test output is a matrix or dgCMatrix
expect_is(out, c("matrix"))
# test output dimensions are the same as in
expect_equivalent(dim(ADImpute::demo_data), dim(out))
# test that it throws an appropriate error when no data
expect_error(ImputeBaseline(data = NULL),
"Please provide an input data matrix.")
# test number of zeros decreases
expect_true(sum(ADImpute::demo_data == 0) > sum(out == 0))
})
test_that("ImputeDrImpute works", {
out <- ImputeDrImpute(data = ADImpute::demo_data)
# test output is a matrix or dgCMatrix
expect_is(out, c("matrix"))
# test output dimensions are the same as in
expect_equivalent(dim(ADImpute::demo_data), dim(out))
# test that it throws an appropriate error when no data
expect_error(ImputeDrImpute(data = NULL),
"Please provide an input data matrix.")
# test number of zeros decreases
expect_true(sum(ADImpute::demo_data == 0) > sum(out == 0))
})
test_that("ImputeNetwork works", {
out <- ImputeNetwork(data = ADImpute::demo_data,
net.coef = ADImpute::demo_net, cores = 2)
# test output is a matrix or dgCMatrix
expect_is(out, c("matrix","dgCMatrix"))
# test output dimensions are the same as in
expect_equivalent(dim(ADImpute::demo_data), dim(out))
# test that it throws an appropriate error when no data
expect_error(ImputeNetwork(data = NULL, net.coef = ADImpute::demo_net,
cores = 2),
"Please provide an input data matrix.")
# when no network coefficients
expect_error(ImputeNetwork(data = ADImpute::demo_data, net.coef = NULL,
cores = 2),
"Please provide valid network coefficients.")
# test number of zeros decreases
expect_true(sum(ADImpute::demo_data == 0) >
sum(out == 0))
})
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