Nothing
test_that("acc_varcomp works without label_col", {
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
expect_warning(
expect_error({
res1 <-
acc_varcomp(resp_vars = "v00014", study_data = study_data,
meta_data = meta_data)
},
regexp =
paste(".*acc_varcomp expects one group_var per resp_var.",
"Here, it has been called with 1 resp_vars but 0 group_vars"),
perl = TRUE
),
regexp =
sprintf(
"(%s)",
paste("Missing argument .+group_vars.+",
"without default value. Setting to NULL.")
),
perl = TRUE,
all = TRUE
)
expect_error(
res1 <-
acc_varcomp(resp_vars = c("CRP_0", "SBP_0"), study_data = study_data,
meta_data = meta_data, group_vars = c("DEV_NO_0", "USR_BP_0"),
label_col = LABEL),
regexp =
sprintf(
"(%s)",
paste("Need exactly one element in argument group_vars,",
"got 2: .DEV_NO_0, USR_BP_0.")
),
perl = TRUE
)
suppressMessages(expect_message(
res1 <-
acc_varcomp(resp_vars = c("DBP_0", "SBP_0"), study_data = study_data,
meta_data = meta_data, group_vars = c("USR_BP_0"),
label_col = LABEL),
regexp =
sprintf(
"(%s)",
paste("Levels .+USR_559.+ were excluded",
"due to less than 30 observations.")
),
perl = TRUE,
all = FALSE
))
expect_true(all(
c("SummaryTable",
"ScalarValue_max_icc",
"ScalarValue_argmax_icc"
) %in% names(res1)))
expect_lt(
suppressWarnings(abs(sum(as.numeric(
as.matrix(res1$SummaryTable)),
na.rm = TRUE) - 1638.564)), 0.1
)
expect_equal(res1$ScalarValue_max_icc, 0.111)
expect_equal(res1$ScalarValue_argmax_icc, "DBP_0")
})
test_that("acc_varcomp works with label_col", {
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
expect_warning(
expect_error({
res1 <-
acc_varcomp(resp_vars = "SBP_0", study_data = study_data,
label_col = LABEL,
meta_data = meta_data)
},
regexp = paste(".*acc_varcomp expects one group_var per resp_var. Here,",
"it has been called with 1 resp_vars but 0 group_vars"),
perl = TRUE
),
regexp =
sprintf(
"(%s)",
paste("Missing argument .+group_vars.+",
"without default value. Setting to NULL.")
),
perl = TRUE,
all = TRUE
)
res1 <-
acc_varcomp(resp_vars = "v00014", study_data = study_data,
meta_data = meta_data, group_vars = "v00016")
expect_true(all(
c("SummaryTable",
"ScalarValue_max_icc",
"ScalarValue_argmax_icc"
) %in% names(res1)))
expect_lt(
suppressWarnings(abs(sum(as.numeric(
as.matrix(res1$SummaryTable)),
na.rm = TRUE) - 2082.221)), 0.1
)
expect_equal(res1$ScalarValue_max_icc, 0.021)
expect_equal(res1$ScalarValue_argmax_icc, "v00014")
})
test_that("acc_varcomp works illegal min_obs_in_subgroup/min_subgroups", {
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
suppressMessages(expect_message(
res1 <-
acc_varcomp(resp_vars = c("DBP_0", "SBP_0"), study_data = study_data,
meta_data = meta_data, group_vars = c("USR_BP_0"),
label_col = LABEL, min_obs_in_subgroup = "k",
min_subgroups = "x"),
regexp =
sprintf(
"(%s|%s|%s)",
paste("Could not convert min_obs_in_subgroup .+k.+ to a",
"number. Set to standard value."),
paste("Could not convert min_subgroups .+x.+ to a number.",
"Set to standard value."),
paste("Levels .+USR_559.+ were excluded",
"due to less than 30 observations.")
),
perl = TRUE,
all = FALSE
))
expect_true(all(
c("SummaryTable",
"ScalarValue_max_icc",
"ScalarValue_argmax_icc"
) %in% names(res1)))
expect_lt(
suppressWarnings(abs(sum(as.numeric(
as.matrix(res1$SummaryTable)),
na.rm = TRUE) - 1638.564)), 0.1
)
expect_equal(res1$ScalarValue_max_icc, 0.111)
expect_equal(res1$ScalarValue_argmax_icc, "DBP_0")
})
test_that("acc_varcomp works without resp_vars", {
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
expect_error(
res1 <-
acc_varcomp(study_data = study_data,
meta_data = meta_data,
group_vars = c("v00016", "v00012")),
regexp =
paste("Need exactly one element in argument group_vars,",
"got 2: .v00016, v00012.")
)
res1 <-
suppressMessages(acc_varcomp(study_data = study_data,
meta_data = meta_data,
group_vars = "v00016"))
expect_true(all(
c("SummaryTable",
"ScalarValue_max_icc",
"ScalarValue_argmax_icc"
) %in% names(res1)))
expect_lt(
suppressWarnings(abs(sum(as.numeric(
as.matrix(res1$SummaryTable)),
na.rm = TRUE) - 73930.06)), 0.1
)
expect_equal(res1$ScalarValue_max_icc, 0.021)
expect_equal(res1$ScalarValue_argmax_icc, "v00014")
})
test_that("acc_varcomp stops on to few subgroups", {
meta_data <- prep_get_data_frame("meta_data")
study_data <- prep_get_data_frame("study_data")
expect_message(
res1 <-
acc_varcomp(resp_vars = "v00014",
study_data = study_data,
meta_data = meta_data,
group_vars = "v00016",
min_subgroups = 50),
regexp = "5 . 50 levels in .+v00016.+ Will not compute ICCs for .+v00014.+."
)
expect_length(res1$ScalarValue_argmax_icc, 0)
expect_equal(res1$ScalarValue_max_icc, -Inf)
expect_equal(nrow(res1$SummaryTable), 0)
expect_equal(ncol(res1$SummaryTable), 11)
})
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