It’s possible to set themes in {gtsummary}. The themes control many aspects of how a table is printed. Function defaults can be controlled with themes, as well as other aspects that are not modifiable with function arguments.
The {gtsummary} package comes with a few themes. Our focus is tables
that are ready for publication and encourage themes that assist in that
process; for example, the
theme_gtsummary_journal(journal = "jama") theme sets
defaults that align with the published
guidelines from the Journal of the American Medical
Association—JAMA. The defaults in {gtsummary} were written
to align with the reporting guidelines for European Urology,
The Journal of Urology, Urology, and the British
Journal of Urology International.
To set a pre-defined theme, simply include the theme function in a script or the R console.
Use the set_gtsummary_theme() function to set
user-defined themes (more on that below).
Themes must be set before you create the {gtsummary} tables. Let’s take a look at the default table, comparing data between treatment groups.
| Characteristic | Drug A N = 981 |
Drug B N = 1021 |
p-value2 |
|---|---|---|---|
| Age | 46 (37, 60) | 48 (39, 56) | 0.7 |
| Unknown | 7 | 4 | |
| Grade | 0.9 | ||
| I | 35 (36%) | 33 (32%) | |
| II | 32 (33%) | 36 (35%) | |
| III | 31 (32%) | 33 (32%) | |
| 1 Median (Q1, Q3); n (%) | |||
| 2 Wilcoxon rank sum test; Pearson’s Chi-squared test | |||
Now, the same code with the JAMA theme.
| Characteristic | Drug A N = 98 |
Drug B N = 102 |
p-value1 |
|---|---|---|---|
| Age, Median (IQR) | 46 (37 – 60) | 48 (39 – 56) | 0.72 |
| Unknown | 7 | 4 | |
| Grade, n (%) | 0.87 | ||
| I | 35 (36) | 33 (32) | |
| II | 32 (33) | 36 (35) | |
| III | 31 (32) | 33 (32) | |
| 1 Wilcoxon rank sum test; Pearson’s Chi-squared test | |||
By setting the theme, we were able to change the default formatting for the p-value and add a dash between the 25th and 75th percentiles.
Themes can be stacked as well. In the example below, the JAMA theme and the compact theme (reduces font size and cell padding) are both called and both themes are utilized.
theme_gtsummary_journal(journal = "jama")
#> Setting theme "JAMA"
theme_gtsummary_compact()
#> Setting theme "Compact"| Characteristic | Drug A N = 98 |
Drug B N = 102 |
p-value1 |
|---|---|---|---|
| Age, Median (IQR) | 46 (37 – 60) | 48 (39 – 56) | 0.72 |
| Unknown | 7 | 4 | |
| Grade, n (%) | 0.87 | ||
| I | 35 (36) | 33 (32) | |
| II | 32 (33) | 36 (35) | |
| III | 31 (32) | 33 (32) | |
| 1 Wilcoxon rank sum test; Pearson’s Chi-squared test | |||
All {gtsummary} tables can be translated into another language using
theme_gtsummary_language()!
| Característica | Drug A N = 98 |
Drug B N = 102 |
p-valor1 |
|---|---|---|---|
| Age, Mediana (IQR) | 46 (37 – 60) | 48 (39 – 56) | 0.72 |
| Desconocido | 7 | 4 | |
| Grade, n (%) | 0.87 | ||
| I | 35 (36) | 33 (32) | |
| II | 32 (33) | 36 (35) | |
| III | 31 (32) | 33 (32) | |
| 1 Prueba de la suma de rangos de Wilcoxon; prueba chi cuadrado de independencia | |||
Clear all previously set themes using
reset_gtsummary_theme().
There are many parts of a {gtsummary} table that may be controlled
with theme elements. To construct a personalized theme, create a named
list of at least one theme element. Here’s an example of a theme that
modifies the function that styles p-values and updates the default
statistics reported in tbl_summary().
my_theme <-
list(
# round large p-values to two places
"pkgwide-fn:pvalue_fun" = label_style_pvalue(digits = 2),
"pkgwide-fn:prependpvalue_fun" = label_style_pvalue(digits = 2, prepend_p = TRUE),
# report median (Q1 - Q2) and n (percent) as default stats in `tbl_summary()`
"tbl_summary-arg:statistic" = list(all_continuous() ~ "{median} ({p25} - {p75})",
all_categorical() ~ "{n} ({p})")
)Once you create the theme, first check the structure using
check_gtsummary_theme(). Then apply or set the theme with
set_gtsummary_theme().
Each theme element follows a naming structure:
"<function name>-<input type>:<description>".
The function name is the function the change applies to, the input type
specifies class or type of the theme element, and the description is
brief text characterizing the theme element.
Theme elements fall into two categories. The first is modifying internal behavior of the functions that is not directly controllable by function arguments.
| Theme Element | Description | Example |
|---|---|---|
| Package-wide | ||
pkgwide-fn:prependpvalue_fun |
function to style p-values throughout package that include a “p” prefix, e.g. “p<0.001” or “p=0.12”; this is common in the inline_text() functions; default is function(x) style_pvalue(x, prepend_p = TRUE) |
function(x) style_pvalue(x, digits = 2, prepend_p = TRUE) |
pkgwide-fn:pvalue_fun |
function to style p-values throughout package; default is style_pvalue |
function(x) style_pvalue(x, digits = 2) |
pkgwide-lgl:quiet |
logical indicating whether to suppress messages or not; default is FALSE |
|
pkgwide-str:ci.sep |
string indicating separator between upper and lower bounds of confidence intervals. Default is ", " |
" to " |
pkgwide-str:language |
string indicating language; default is "en" |
"es" |
pkgwide-str:print_engine |
string indicating the default print engine; default is "gt" |
"flextable" |
pkgwide-str:theme_name |
optional name of theme; name is printed when theme loaded | "My Personal Theme" |
pkgwide-fun:pre_conversion |
function that is executed on the gtsummary object before it is converted with as_gt(), as_flex_table(), etc. Must be a function that can be run on every and any gtsummary object |
bold_levels |
| add_global_p | ||
add_global_p-str:type |
set argument default for add_global_p.tbl_regression(type=) and add_global_p.tbl_uvregression(type=) |
"II" |
add_global_p-str:type |
set argument default for add_global_p.tbl_regression(type=) and add_global_p.tbl_uvregression(type=); default is "III" |
"II" |
| add_p.tbl_summary | ||
add_p.tbl_summary-attr:test.categorical |
default test for categorical/dichotomous variables | "chisq.test" |
add_p.tbl_summary-attr:test.categorical.group_by2 |
default test for categorical/dichotomous grouped/correlated variables with a 2-level by variable | "lme4" |
add_p.tbl_summary-attr:test.categorical.low_count |
default test for categorical/dichotomous variables with minimum expected count <5 | "fisher.test" |
add_p.tbl_summary-attr:test.continuous |
default test for continuous variables with a 3- or more level by variable | "aov" |
add_p.tbl_summary-attr:test.continuous.group_by2 |
default test for continuous grouped/correlated variables with a 2-level by variable | "lme4" |
add_p.tbl_summary-attr:test.continuous_by2 |
default test for continuous variables with a 2-level by variable | "t.test" |
| add_p.tbl_svysummary | ||
add_p.tbl_svysummary-attr:test.categorical |
default test for categorical/dichotomous variables | "svy.chisq.test" |
add_p.tbl_svysummary-attr:test.continuous |
default test for continuous variables | "svy.wilcox.test" |
| as_flex_table | ||
as_flex_table-lst:addl_cmds |
named list of expressions of {flextable} package commands inserted in the as_flex_table() call; do not include the data= argument; the list of expressions is inserted after the named call, e.g. if the named list element is "tab_spanner" the expressions will be inserted after expressions named "tab_spanner"; to see the names of the expressions run as_flex_table(x, return_calls = TRUE) and check the names. |
list(autofit = list(rlang::expr(flextable::font(fontname = "Bodoni 72", part = "all")), rlang::expr(flextable::fontsize(size = 8, part = "all")))) |
| as_gt | ||
as_gt-lst:addl_cmds |
named list of expressions of {gt} package commands inserted in the as_gt() call; do not include the data= argument; the list of expressions is inserted after the named call, e.g. if the named list element is "tab_spanner" the expressions will be inserted after expressions named "tab_spanner"; to see the names of the expressions run as_gt(x, return_calls = TRUE) and check the names. |
list(tab_spanner = rlang::expr(gt::tab_options(table.font.size = 'small'))) |
| as_hux_table | ||
as_hux_table.gtsummary-lst:addl_cmds |
named list of expressions of {huxtable} package commands inserted in the as_hux_table() call; do not include the data= argument; the list of expressions is inserted after the named call, e.g. if the named list element is "tab_spanner" the expressions will be inserted after expressions named "tab_spanner"; to see the names of the expressions run as_hux_table(x, return_calls = TRUE) and check the names. |
|
| as_kable_extra | ||
as_kable_extra-lst:addl_cmds |
named list of expressions of {kableExtra} package commands inserted in the as_kable_extra() call; do not include the data= argument; the list of expressions is inserted after the named call, e.g. if the named list element is "tab_spanner" the expressions will be inserted after expressions named "tab_spanner"; to see the names of the expressions run as_kable_extra(x, return_calls = TRUE) and check the names. |
|
| tbl_regression | ||
tbl_regression-fn:addnl-fn-to-run |
a function that will be executed after at the end of each tbl_regression() call |
bold_labels |
tbl_regression-lst:tidy_plus_plus |
Additional tidy_plus_plus() arguments. Cannot be one of model=, tidy_fun=, exponentiate=, variable_labels=, show_single_row=, intercept=, include=, conf.level=, conf.int=, or strict= as these are controlled by tbl_regression(). The default value for the additional arguments is list(conf.int = TRUE, add_header_rows = TRUE, add_estimate_to_reference_rows = FALSE). |
list(conf.int = TRUE, add_header_rows = TRUE, add_estimate_to_reference_rows = TRUE) |
tbl_regression-str:coef_header |
string setting the default term for the beta coefficient column header; default is "Beta" |
ifelse(exponentiate == TRUE, "exp(coef)", "coef") |
tbl_regression-str:ref_row_text |
string indicating the text to print on reference rows (default is an em-dash) | "Reference" |
| tbl_stack | ||
tbl_stack-str:group_header |
string indicating the group column header used in as_tibble(), as_flex_table(), etc. where row headers are not supported; default is "**Group**" |
"**Group Status**" |
| tbl_summary | ||
tbl_summary-fn:addnl-fn-to-run |
a function that will be executed after at the end of each tbl_summary() call |
bold_labels |
tbl_summary-fn:N_fun |
function to style integers. Currently questioning…THIS MAY BE REMOVED IN A FUTURE RELEASE. Use style_number-arg:big.mark and style_number-arg:decimal.mark instead. |
function(x) sprintf("%.0f", x) |
tbl_summary-fn:percent_fun |
function to style percentages; default is style_percent |
function(x) style_percent(x) |
tbl_summary-str:default_con_type |
string indicating the default summary type for continuous variables; default is "continuous"; update to "continuous2" for multi-line summaries of continuous variables |
"continuous2" |
tbl_summary-str:missing_stat |
string indicating the statistic(s) to present on the missing row. The default is "{N_miss}". Select among c("N_miss", "N_obs", "p_miss", "N_nonmiss", "p_nonmiss") |
"{N_miss} ({p_miss}%)" |
tbl_summary-str:header-noby |
string indicating the statistic header when there is no by variable present | "N={N}" |
tbl_summary-str:header-withby |
string indicating the statistic header when there is a by variable present | "**{level}** \nN={n}" |
| tbl_svysummary | ||
tbl_svysummary-fn:addnl-fn-to-run |
a function that will be executed after at the end of each tbl_svysummary() call |
bold_labels |
tbl_svysummary-str:header-noby |
string indicating the statistic header when there is no by variable present | "N={N}" |
tbl_svysummary-str:header-withby |
string indicating the statistic header when there is a by variable present | "**{level}** \nN={n}" |
| add_difference | ||
add_difference-fn:addnl-fn-to-run |
a function that will be executed after at the end of each add_difference() call |
bold_labels |
The second type of theme elements set function argument defaults. The values of these theme elements must align with the functions’ accepted input for the argument.
| Theme Element |
|---|
| add_p.tbl_cross |
add_p.tbl_cross-arg:pvalue_fun, add_p.tbl_cross-arg:source_note, add_p.tbl_cross-arg:test |
| add_p.tbl_summary |
add_p.tbl_summary-arg:test |
| add_p.tbl_svysummary |
add_p.tbl_svysummary-arg:pvalue_fun, add_p.tbl_svysummary-arg:test |
| add_q |
add_q-arg:method, add_q-arg:pvalue_fun |
| add_stat_label |
add_stat_label-arg:location |
| as_kable |
as_kable-arg:dots |
| style_number |
style_number-arg:big.mark, style_number-arg:decimal.mark |
| tbl_regression |
tbl_regression-arg:conf.level, tbl_regression-arg:conf.int, tbl_regression-arg:estimate_fun, tbl_regression-arg:add_estimate_to_reference_rows, tbl_regression-arg:tidy_fun |
| tbl_summary |
tbl_summary-arg:digits, tbl_summary-arg:missing, tbl_summary-arg:missing_text, tbl_summary-arg:percent, tbl_summary-arg:sort, tbl_summary-arg:statistic, tbl_summary-arg:type, tbl_summary-arg:value |
| tbl_survfit |
tbl_survfit-arg:statistic |
| tbl_svysummary |
tbl_svysummary-arg:digits, tbl_svysummary-arg:label, tbl_svysummary-arg:missing, tbl_svysummary-arg:missing_text, tbl_svysummary-arg:percent, tbl_svysummary-arg:sort, tbl_svysummary-arg:statistic, tbl_svysummary-arg:type, tbl_svysummary-arg:value |
| tbl_custom_summary |
tbl_custom_summary-arg:digits, tbl_custom_summary-arg:label, tbl_custom_summary-arg:missing, tbl_custom_summary-arg:missing_text, tbl_custom_summary-arg:type, tbl_custom_summary-arg:value |