This function stratifies your data frame, builds gtsummary tables, and
stacks the resulting tables in a nested style. The underlying functionality
is similar to tbl_strata()
, except the resulting tables are nested or indented
within each group.
NOTE: The header from the first table is used for the final table. Oftentimes, this header will include incorrect Ns and must be updated.
Usage
tbl_strata_nested_stack(
data,
strata,
.tbl_fun,
...,
row_header = "{strata}",
quiet = FALSE
)
Arguments
- data
(
data.frame
)
a data frame- strata
(
tidy-select
)
character vector or tidy-selector of columns in data to stratify results by. Only observed combinations are shown in results.- .tbl_fun
(
function
) A function or formula. If a function, it is used as is. If a formula, e.g.~ .x %>% tbl_summary() %>% add_p()
, it is converted to a function. The stratified data frame is passed to this function.- ...
Additional arguments passed on to the
.tbl_fun
function.- row_header
(
string
)
string indicating the row headers that appear in the table. The argument usesglue::glue()
syntax to insert values into the row headers. Elements available to insert arestrata
,n
,N
andp
. Thestrata
element is the variable level of the strata variables. Default is'{strata}'
.- quiet
(scalar
logical
)
Logical indicating whether to suppress additional messaging. Default isFALSE
.
Examples
# Example 1 ----------------------------------
tbl_strata_nested_stack(
trial,
strata = trt,
.tbl_fun = ~ .x |>
tbl_summary(include = c(age, grade), missing = "no") |>
modify_header(all_stat_cols() ~ "**Summary Statistics**")
)
Characteristic
Summary Statistics1
1 Median (Q1, Q3); n (%)
# Example 2 ----------------------------------
tbl_strata_nested_stack(
trial,
strata = trt,
.tbl_fun = ~ .x |>
tbl_summary(include = c(age, grade), missing = "no") |>
modify_header(all_stat_cols() ~ "**Summary Statistics**"),
row_header = "{strata}, n={n}"
) |>
# bold the row headers; print `x$table_body` to see hidden columns
modify_bold(columns = "label", rows = tbl_indent_id1 > 0)
Characteristic
Summary Statistics1
1 Median (Q1, Q3); n (%)