I’m trying to add a color scale to a numeric column in a more complicated dataset, but it won’t even work on iris – so I think I’m doing something wrong in the code or have a software problem.

library(tidyverse)
library(gt)

iris %>% 
  group_by(Species) %>% 
  summarise(sepal_avg_length = mean(Sepal.Length)) %>% 
  ungroup() %>% 
  gt() %>% 
  data_color()

iris %>% 
  group_by(Species) %>% 
  summarise(sepal_avg_length = mean(Sepal.Length)) %>% 
  ungroup() %>% 
  gt() %>% 
  data_color(
    columns = sepal_avg_length,
    method = "numeric",
    palette = "Oranges"
  )

Both of these give me various errors:

• Error in rlang::eval_tidy(colors, data_tbl) : object ” not found
• Error in data_color(., columns = sepal_avg_length, method = “numeric”, :
  unused arguments (method = “numeric”, palette = “Oranges”)

I’m not sure why this error is appearing; any ideas or other methods to give a color scale to a numeric column?