Add scaled colors according to numeric values or categories/factors

The gt_color_rows function takes an existing gt_tbl object and applies pre-existing palettes from the {paletteer} package or custom palettes defined by the user. This function is a custom wrapper around gt::data_color(), and uses some of the boilerplate code. Basic use is simpler than data_color().

Usage

gt_color_rows(
  gt_object,
  columns,
  palette = "ggsci::red_material",
  direction = 1,
  domain = NULL,
  pal_type = c("discrete", "continuous"),
  ...
)

Arguments

gt_object

An existing gt table object of class gt_tbl

columns

The columns wherein changes to cell data colors should occur.

palette

The colours or colour function that values will be mapped to

direction

Either 1 or -1. If -1 the palette will be reversed.

domain

The possible values that can be mapped.

For col_numeric and col_bin, this can be a simple numeric range (e.g. c(0, 100)); col_quantile needs representative numeric data; and col_factor needs categorical data.

If NULL, then whenever the resulting colour function is called, the x value will represent the domain. This implies that if the function is invoked multiple times, the encoding between values and colours may not be consistent; if consistency is needed, you must provide a non-NULL domain.

pal_type

A string indicating the palette type (one of c("discrete", "continuous"))

...

Additional arguments passed to scales::col_numeric()

Value

An object of class gt_tbl.

Examples

 library(gt)
 # basic use
 basic_use <- mtcars %>%
   head(15) %>%
   gt() %>%
   gt_color_rows(mpg:disp)
 # change palette to one that paletteer recognizes
 change_pal <- mtcars %>%
   head(15) %>%
   gt() %>%
   gt_color_rows(mpg:disp, palette = "ggsci::blue_material")
 # change palette to raw values
 vector_pal <- mtcars %>%
   head(15) %>%
   gt() %>%
   gt_color_rows(
     mpg:disp, palette = c("white", "green"))
     # could also use palette = c("#ffffff", "##00FF00")

 # use discrete instead of continuous palette
 discrete_pal <- mtcars %>%
  head(15) %>%
  gt() %>%
  gt_color_rows(
  cyl, pal_type = "discrete",
  palette = "ggthemes::colorblind", domain = range(mtcars$cyl)
    )
 # use discrete and manually define range
 range_pal <- mtcars %>%
   dplyr::select(gear, mpg:hp) %>%
   head(15) %>%
   gt() %>%
   gt_color_rows(
   gear, pal_type = "discrete", direction = -1,
   palette = "colorblindr::OkabeIto_black", domain = c(3,4,5))

Figures

Function ID

4-2