Modify column headers, footnotes, spanning headers, and table captions
These functions assist with updating or adding column headers
(modify_header()
), footnotes (modify_footnote()
), spanning
headers (modify_spanning_header()
), and table captions
(modify_caption()
). Use show_header_names()
to learn
the column names.
modify_header( x, update = NULL, text_interpret = c("md", "html"), quiet = NULL, ..., stat_by = NULL ) modify_footnote( x, update = NULL, abbreviation = FALSE, text_interpret = c("md", "html"), quiet = NULL ) modify_spanning_header( x, update = NULL, text_interpret = c("md", "html"), quiet = NULL ) modify_caption(x, caption, text_interpret = c("md", "html")) show_header_names(x = NULL, quiet = NULL)
x |
a gtsummary object |
update |
list of formulas or a single formula specifying the updated
column header, footnote, or spanning header.
The LHS specifies the column(s) to be updated, and the RHS is the updated text.
Use the |
text_interpret |
String indicates whether text will be interpreted with
|
quiet |
Logical indicating whether to print messages in console. Default is
|
... |
Specify a column and updated column label,
e.g. |
stat_by |
DEPRECATED, use |
abbreviation |
Logical indicating if an abbreviation is being updated. |
caption |
a string of the table caption/title |
Updated gtsummary object
When assigning column headers, footnotes, spanning headers, and captions
for these gtsummary tables,
you may use {N}
to insert the number of observations.
tbl_svysummary
objects additionally have {N_unweighted}
available.
When there is a stratifying by=
argument present, the following fields are
additionally available to stratifying columns: {level}
, {n}
, and {p}
({n_unweighted}
and {p_unweighted}
for tbl_svysummary
objects)
Syntax follows glue::glue()
, e.g. all_stat_cols() ~ "**{level}**, N = {n}"
.
When assigning column headers for tbl_regression
tables,
you may use {N}
to insert the number of observations, and {N_event}
for the number of events (when applicable).
Captions are assigned based on output type.
gt::gt(caption=)
, available in gt version >0.2.2
flextable::set_caption(caption=)
huxtable::set_caption(value=)
knitr::kable(caption=)
Example 1
Example 2
Example 3
Daniel D. Sjoberg
Other tbl_summary tools:
add_n.tbl_summary()
,
add_overall()
,
add_p.tbl_summary()
,
add_q()
,
add_stat_label()
,
bold_italicize_labels_levels
,
inline_text.tbl_summary()
,
inline_text.tbl_survfit()
,
tbl_merge()
,
tbl_stack()
,
tbl_summary()
Other tbl_svysummary tools:
add_n.tbl_summary()
,
add_overall()
,
add_p.tbl_svysummary()
,
add_q()
,
add_stat_label()
,
tbl_merge()
,
tbl_stack()
,
tbl_svysummary()
Other tbl_regression tools:
add_global_p()
,
add_q()
,
bold_italicize_labels_levels
,
combine_terms()
,
inline_text.tbl_regression()
,
tbl_merge()
,
tbl_regression()
,
tbl_stack()
Other tbl_uvregression tools:
add_global_p()
,
add_q()
,
bold_italicize_labels_levels
,
inline_text.tbl_uvregression()
,
tbl_merge()
,
tbl_stack()
,
tbl_uvregression()
Other tbl_survfit tools:
add_n.tbl_survfit()
,
add_nevent.tbl_survfit()
,
add_p.tbl_survfit()
,
tbl_merge()
,
tbl_stack()
,
tbl_survfit()
# create summary table tbl <- trial[c("age", "grade", "trt")] %>% tbl_summary(by = trt, missing = "no") %>% add_p() # print the column names that can be modified show_header_names(tbl) # Example 1 ---------------------------------- # updating column headers, footnote, and table caption modify_ex1 <- tbl %>% modify_header( update = list( label ~ "**Variable**", p.value ~ "**P**" ) ) %>% modify_footnote( update = all_stat_cols() ~ "median (IQR) for Age; n (%) for Grade" ) %>% modify_caption("**Patient Characteristics** (N = {N})") # Example 2 ---------------------------------- # updating headers, remove all footnotes, add spanning header modify_ex2 <- tbl %>% modify_header(update = all_stat_cols() ~ "**{level}**, N = {n} ({style_percent(p)}%)") %>% # use `modify_footnote(everything() ~ NA, abbreviation = TRUE)` to delete abbrev. footnotes modify_footnote(update = everything() ~ NA) %>% modify_spanning_header(all_stat_cols() ~ "**Treatment Received**") # Example 3 ---------------------------------- # updating an abbreviation in table footnote modify_ex3 <- glm(response ~ age + grade, trial, family = binomial) %>% tbl_regression(exponentiate = TRUE) %>% modify_footnote(ci ~ "CI = Credible Interval", abbreviation = TRUE)
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