ext01_main | R Documentation |
EXT01
Exposure Summary Table.The EXT01
table provides an overview of the of the exposure of the
patients in terms of Total dose administered or missed, and treatment duration.
ext01_main(
adam_db,
arm_var = "ACTARM",
lbl_overall = NULL,
summaryvars = "AVAL",
row_split_var = "PARCAT2",
page_var = NULL,
map = NULL,
stats = list(default = c("n", "mean_sd", "median", "range", "count_fraction")),
precision = list(default = 0),
...
)
ext01_pre(adam_db, ...)
ext01_post(tlg, prune_0 = TRUE, ...)
ext01
adam_db |
( |
arm_var |
( |
lbl_overall |
( |
summaryvars |
( |
row_split_var |
( |
page_var |
( |
map |
( |
stats |
(named |
precision |
(named |
... |
not used. |
tlg |
( |
prune_0 |
( |
An object of class chevron_t
of length 1.
Default Exposure table
The n
row provides the number of non-missing values. The percentages for categorical variables is based on n
.
The percentages for ā Total number of patients with at least one dose modificationā
are based on the number of
patients in the corresponding analysis population given by N
.
Split columns by arm, typically ACTARM
.
Does not include a total column by default.
Sorted by alphabetic order of the PARAM
value. Transform to factor and re-level for custom order.
ANL01FL
is not relevant subset.
the main function returns an rtables
object.
the preprocessing function returns a list
of data.frame
.
the postprocessing function returns an rtables
object or an ElementaryTable
(null report).
ext01_main()
: Main TLG function
ext01_pre()
: Preprocessing
ext01_post()
: Postprocessing
adam_db
object must contain an adex
table with columns specified in summaryvars
.
run(ext01, syn_data)
run(ext01, syn_data, summaryvars = c("AVAL", "AVALCAT1"), prune_0 = FALSE)
levels(syn_data$adex$AVALCAT1) <- c(levels(syn_data$adex$AVALCAT1), "12 months")
map <- data.frame(
PARAMCD = "TDURD",
AVALCAT1 = c("< 1 month", "1 to <3 months", ">=6 months", "3 to <6 months", "12 months")
)
run(
ext01,
syn_data,
summaryvars = c("AVAL", "AVALCAT1"),
prune_0 = FALSE,
map = map,
precision = list(TDOSE = 4, default = 4),
stats = list(TDURD = "n", default = c("n", "count_fraction"))
)
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