Three horizontal rules and nothing else, the way LaTeX booktabs draws them. A heavy rule sits above the column labels, a lighter one below them, and a heavy rule closes the body. There are no vertical rules, no rules between data rows, and no fills. The type is a Times-compatible serif.
Usage
gt_theme_booktabs(
gt_object,
accent = "#111111",
density = c("comfortable", "compact", "social"),
...
)Arguments
- gt_object
A
gttable object to modify.- accent
Character. A hex color for the three rules and the row-group labels. Defaults to
"#111111", near-black, for the standard black rules.- density
Character. The type and padding scale. One of
"comfortable","compact", or"social". See Density. Defaults to"comfortable".- ...
Additional arguments passed to
gt::tab_options, applied last so they override anything the theme sets.
Density
density sets the type and padding scale together. "comfortable" uses a
14px body with roomy rows, "compact" a 12px body with tight rows, and
"social" a 17px body with generous rows and a larger title, at the scale
gt_save_crop() and gt_social_crop() export at.
See also
gt_theme_tufte() for a lighter, minimal-ink relative, and
gt_significance() for significance notation.
Examples
if (FALSE) { # \dontrun{
library(gt)
gt(head(mtcars[c("mpg", "hp", "wt")], 8)) %>% gt_theme_booktabs()
# a regression table, with significance stars and a colored rule
fit <- lm(mpg ~ wt + hp, data = mtcars)
data.frame(
Term = names(coef(fit)),
Estimate = coef(fit),
p = summary(fit)$coefficients[, 4]
) %>%
gt() %>%
fmt_number(Estimate, decimals = 3) %>%
gt_significance(Estimate, p) %>%
gt_theme_booktabs(accent = "#1A3E6F")
} # }

