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# Copyright 2015-2023 Province of British Columbia
# Copyright 2021 Environment and Climate Change Canada
# Copyright 2023-2024 Australian Government Department of Climate Change,
# Energy, the Environment and Water
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
test_that("weighted errors", {
data <- ssddata::ccme_boron
data$Weight <- 1
data$Weight[rank(data$Conc) > 6] <- 0
expect_error(
ssd_fit_dists(data, dists = "lnorm", weight = "Weight"),
"^`data` has 22 rows with zero weight in 'Weight'\\.$"
)
data$Weight[rank(data$Conc) > 6] <- -1
expect_error(
ssd_fit_dists(data, dists = "lnorm", weight = "Weight"),
"^`data\\$Weight` must have values between 0 and Inf\\.$"
)
data$Weight[rank(data$Conc) > 6] <- Inf
expect_warning(expect_error(
ssd_fit_dists(data, dists = "lnorm", weight = "Weight"),
"^All distributions failed to fit\\.$"
))
})
test_that("weighted works", {
data <- ssddata::ccme_boron
data$Weight <- 1
data$Weight[rank(data$Conc) > 6] <- 1 / 10
fitall <- ssd_fit_dists(data, dists = "lnorm")
hcall <- ssd_hc(fitall)
expect_snapshot_data(hcall, "hcall")
fit1 <- ssd_fit_dists(subset(data, Weight == 1), dists = "lnorm")
hc1 <- ssd_hc(fit1)
expect_snapshot_data(hc1, "hc1")
fit1w <- ssd_fit_dists(subset(data, Weight == 1), dists = "lnorm", weight = "Weight")
hc1w <- ssd_hc(fit1w)
expect_snapshot_data(hc1w, "hc1w")
fitallw10 <- ssd_fit_dists(data, dists = "lnorm", weight = "Weight")
hcallw10 <- ssd_hc(fitallw10)
expect_snapshot_data(hcallw10, "hcallw10")
data$Weight[rank(data$Conc) > 6] <- 1 / 100
fitallw100 <- ssd_fit_dists(data, dists = "lnorm", weight = "Weight")
hcallw100 <- ssd_hc(fitallw100)
expect_snapshot_data(hcallw100, "hcallw100")
data$Weight[rank(data$Conc) > 6] <- 1 / 1000
fitallw1000 <- ssd_fit_dists(data, dists = "lnorm", weight = "Weight")
hcallw1000 <- ssd_hc(fitallw1000)
expect_snapshot_data(hcallw1000, "hcallw1000")
})
test_that("weighted2", {
data <- ssddata::ccme_boron
data$Weight <- 2
fit2 <- ssd_fit_dists(data, dists = "lnorm", weight = "Weight")
hc2 <- ssd_hc(fit2)
expect_snapshot_data(hc2, "hc2")
})
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