nonmem_df <- data.frame(ID = 1, ADV = c(1, 0, 0), DV = 1)
# Check standardize_column ####
nonmem_df_id <- data.frame(id = 1, ADV = c(1, 0, 0), DV = 1)
test_that("colname must be in names(cols)", {
expect_error(
vpc:::standardize_column(dat=nonmem_df, cols=list(ID="ID"), colname="foo", coldesc="identifier"),
regexp="'colname' (foo) must be in 'names(cols)'. Available names: ID",
fixed=TRUE
)
})
test_that("cols[[colname]] must be in names(dat), unless (see next test)", {
expect_error(
vpc:::standardize_column(dat=nonmem_df, cols=list(foo="foo"), colname="foo", coldesc="identifier", what="errormsg"),
regexp="No column for identifier indicator found in errormsg data, can't continue! Available columns: ID, ADV, DV",
fixed=TRUE
)
})
test_that("When the column exists and it is named the same as colname even if cols is not the same, input is returned as output", {
expect_equal(
vpc:::standardize_column(
dat=nonmem_df,
cols=list(ID="foo"),
colname="ID",
coldesc="identifier"
),
nonmem_df
)
})
test_that("When the column exists and it is named the same, input is returned as output", {
expect_equal(
vpc:::standardize_column(dat=nonmem_df, cols=list(ID="ID"), colname="ID", coldesc="identifier"),
nonmem_df
)
})
test_that("When the column exists and it is not named the same, input is returned with the column renamed", {
expect_equal(
vpc:::standardize_column(dat=nonmem_df, cols=list(id="ID"), colname="id", coldesc="identifier"),
nonmem_df_id
)
})
# Test format_vpc_input_data ####
formatted_nonmem_df <-
dplyr::mutate(
dplyr::rename(nonmem_df, id="ID", idv="ADV", dv="DV"),
strat=factor(1)
)
test_that("format_vpc_input_data returns the source data unmodified when lloq, uloq, strat, log_y, log_y_min, and pred_corr have no effect", {
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=FALSE, log_y_min=1e-3,
lloq=NULL, uloq=NULL,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=FALSE
),
formatted_nonmem_df
)
})
test_that("format_vpc_input_data returns the source data modified by lloq (NA if pred_corr == FALSE)", {
formatted_nonmem_df_lloq_nopredc <- formatted_nonmem_df
formatted_nonmem_df_lloq_nopredc$dv <- NA_real_
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=FALSE, log_y_min=1e-3,
lloq=2, uloq=NULL,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=FALSE
),
formatted_nonmem_df_lloq_nopredc
)
})
test_that("format_vpc_input_data returns the source data modified by lloq (lloq if pred_corr == TRUE)", {
formatted_nonmem_df_lloq_yespredc <- formatted_nonmem_df
formatted_nonmem_df_lloq_yespredc$dv <- NA_real_
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=FALSE, log_y_min=1e-3,
lloq=2, uloq=NULL,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=TRUE
),
formatted_nonmem_df_lloq_yespredc
)
})
test_that("format_vpc_input_data returns the source data modified by uloq (NA if pred_corr == FALSE)", {
formatted_nonmem_df_uloq_nopredc <- formatted_nonmem_df
formatted_nonmem_df_uloq_nopredc$dv <- NA_real_
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=FALSE, log_y_min=1e-3,
lloq=NA, uloq=0.5,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=FALSE
),
formatted_nonmem_df_uloq_nopredc
)
})
test_that("format_vpc_input_data returns the source data modified by uloq (uloq if pred_corr == TRUE)", {
formatted_nonmem_df_uloq_yespredc <- formatted_nonmem_df
formatted_nonmem_df_uloq_yespredc$dv <- NA_real_
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=FALSE, log_y_min=1e-3,
lloq=NA, uloq=0.5,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=TRUE
),
formatted_nonmem_df_uloq_yespredc
)
})
test_that("format_vpc_input_data returns the source data modified by log_y_min", {
formatted_nonmem_df_logy_2 <- formatted_nonmem_df
formatted_nonmem_df_logy_2$dv <- 2
expect_equal(
vpc:::format_vpc_input_data(
dat=nonmem_df,
cols=list(id="ID", idv="ADV", dv="DV"),
log_y=TRUE, log_y_min=2,
lloq=NULL, uloq=NULL,
stratify=NULL,
what="observed",
verbose=FALSE,
pred_corr=TRUE
),
formatted_nonmem_df_logy_2
)
})
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