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use_jama_theme()use_jama_theme() sets the {gtsummary} theme
to JAMA compact styling for the rest of your session. It reduces
padding, tightens font sizes, and produces tables suited for publication
or reports.
| Overall N = 2001 |
Drug A N = 981 |
Drug B N = 1021 |
p-value2 | |
|---|---|---|---|---|
| Age | 47 (38, 57) | 46 (37, 60) | 48 (39, 56) | 0.718 |
| Unknown | 11 | 7 | 4 | |
| Marker Level (ng/mL) | 0.64 (0.22, 1.41) | 0.84 (0.23, 1.60) | 0.52 (0.18, 1.21) | 0.085 |
| Unknown | 10 | 6 | 4 | |
| T Stage | 0.866 | |||
| T1 | 53 (27%) | 28 (29%) | 25 (25%) | |
| T2 | 54 (27%) | 25 (26%) | 29 (28%) | |
| T3 | 43 (22%) | 22 (22%) | 21 (21%) | |
| T4 | 50 (25%) | 23 (23%) | 27 (26%) | |
| Grade | 0.871 | |||
| I | 68 (34%) | 35 (36%) | 33 (32%) | |
| II | 68 (34%) | 32 (33%) | 36 (35%) | |
| III | 64 (32%) | 31 (32%) | 33 (32%) | |
| Tumor Response | 61 (32%) | 28 (29%) | 33 (34%) | 0.530 |
| Unknown | 7 | 3 | 4 | |
| Patient Died | 112 (56%) | 52 (53%) | 60 (59%) | 0.412 |
| Months to Death/Censor | 22.4 (15.9, 24.0) | 23.5 (17.4, 24.0) | 21.2 (14.5, 24.0) | 0.145 |
| 1 Median (Q1, Q3); n (%) | ||||
| 2 Wilcoxon rank sum test; Pearson’s Chi-squared test | ||||
This is equivalent to calling
gtsummary::set_gtsummary_theme(gtsummary::theme_gtsummary_compact("jama"))
but shorter to type.
To reset back to the default {gtsummary} theme:
theme_gt_compact()When you mix {gtsummary} tables with plain
{gt} tables in the same document, the styling mismatch is
noticeable. theme_gt_compact() applies the same JAMA
compact look to {gt} tables.
| Chemotherapy Treatment | Age | Grade |
|---|---|---|
| Drug A | 23 | II |
| Drug B | 9 | I |
| Drug A | 31 | II |
| Drug A | NA | III |
| Drug A | 51 | III |
| Drug B | 39 | I |
| Drug A | 37 | II |
| Drug A | 32 | I |
| Drug A | 31 | II |
| Drug B | 34 | I |
| Chemotherapy Treatment | Age | Grade |
|---|---|---|
| Drug A | 23 | II |
| Drug B | 9 | I |
| Drug A | 31 | II |
| Drug A | NA | III |
| Drug A | 51 | III |
| Drug B | 39 | I |
| Drug A | 37 | II |
| Drug A | 32 | I |
| Drug A | 31 | II |
| Drug B | 34 | I |
You can layer additional {gt} styling on top:
trial |>
dplyr::select(trt, age, grade, marker) |>
head(8) |>
gt::gt() |>
theme_gt_compact() |>
gt::tab_header(
title = "Trial Patient Sample",
subtitle = "First 8 patients"
)| Trial Patient Sample | |||
| First 8 patients | |||
| Chemotherapy Treatment | Age | Grade | Marker Level (ng/mL) |
|---|---|---|---|
| Drug A | 23 | II | 0.160 |
| Drug B | 9 | I | 1.107 |
| Drug A | 31 | II | 0.277 |
| Drug A | NA | III | 2.067 |
| Drug A | 51 | III | 2.767 |
| Drug B | 39 | I | 0.613 |
| Drug A | 37 | II | 0.354 |
| Drug A | 32 | I | 1.739 |
vignette("sumExtras-intro") – getting started with
extras()vignette("labeling") – dictionary-based labelingvignette("styling") – group headers and advanced
formattingvignette("options") – .Rprofile options for automatic
labelingThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.