A shorthand around gt::data_color() for filling columns that already hold
rank values, where 1 is best. It takes either a plain vector of hex colors or a
paletteer palette, and either an explicit domain or one derived from the
data. Values are colored as they are; no ranking is computed for you.
Usage
gt_color_ranks(
gt_object,
columns,
rows = NULL,
palette = c("#3D8B6E", "#9DC5A7", "#EDE0CC", "#DB9070", "#BE4D3A"),
domain = NULL,
reverse = FALSE,
na_color = "white",
autocolor_text = TRUE,
pal_type = "discrete",
...
)Arguments
- gt_object
A
gttable object to modify.- columns
The column or columns to color.
- rows
The rows to color. Either an expression evaluated against the table's data, such as
mpg > 20, or a numeric vector of row indices. Rows left out keep their default background. IfNULL, every row is colored. Defaults toNULL.- palette
A color palette to use. If you want a palette from
paletteer, specify it aspackage::palette. Defaults to a five-color green-to-red ramp.- domain
A length-2 numeric vector giving the value range mapped onto the palette. If
NULL, the range is taken from the selected columns and shared across all of them, so rank 1 and the largest rank present anchor the two ends of the palette. Defaults toNULL.- reverse
Logical. Should the palette be reversed? Defaults to
FALSE.- na_color
Character. The color used for
NAvalues. Defaults to"white".- autocolor_text
Logical. Should the text color be set automatically for contrast against the fill? Defaults to
TRUE.- pal_type
Character. Either
"discrete"or"continuous", used when applyingpaletteerpalettes. Defaults to"discrete".- ...
Additional arguments passed to
gt::data_color.
Details
The whole cell background is filled. gt_color_pills() does the same job with
rounded pill spans instead.
See also
gt_legend_continuous() for explaining the scale, and gt_color_pills()
for a pill treatment instead of a full-cell fill.
Examples
if (FALSE) { # \dontrun{
library(gt)
ranked <- data.frame(
model = rownames(head(mtcars, 6)),
mpg_rank = rank(-head(mtcars, 6)$mpg),
hp_rank = rank(head(mtcars, 6)$hp)
)
gt(ranked) %>% gt_color_ranks(c(mpg_rank, hp_rank))
# a paletteer palette, reversed
gt(ranked) %>%
gt_color_ranks(mpg_rank, palette = "viridis::mako", pal_type = "continuous",
reverse = TRUE)
} # }
