This question is related to this one:

My question: How can I modify my code to apply these condition to all columns!

e.g all 0 are red and all 4 are blue!

CodePudding user response：

If we want only to do this on particular columns, create a vector of names ('nm1') and loop over only those columns, within the loop, get the index that meets the condition in rows

library(dplyr)
library(gt)
 tbl1 <- mtcars %>% 
     gt()
 nm1 <- c("cyl", "vs", "am", "gear", "carb")
 for(i in seq_along(nm1)) {
      
      tbl1 <- tbl1 %>%
        tab_style(
          style = list(
            cell_text(color = "red", weight = "bold")
            
          ),
          locations = cells_body(
            columns = nm1[i],
            
            rows = tbl1$`_data`[[nm1[i]]] == 0 
          )
        ) %>%
        
        tab_style(
          style = list(
            cell_text(color = "blue", weight = "bold")
            
          ),
          locations = cells_body(
            columns = nm1[i],
            
            rows = tbl1$`_data`[[nm1[i]]] == 4 
          )
        ) 
        
    }

-output

Another option would be to create the gt object in each column using across, store as_raw_html and then call the gt on top of the output with fmt_markdown

out <-  mtcars %>%
    summarise(across(everything(),  ~ 
                          setNames(tibble(.x), cur_column()) %>%
                                  gt() %>%
                                 tab_style(
                                   style = cell_text(color = "red", weight = "bold"),
                                   locations = cells_body(
                                     columns = cur_column(),
                                     rows = .x == 0
                                   )
                                 ) %>% 
                                 tab_style(
                                   style = cell_text(color = "blue", weight = "bold"),
                                   locations = cells_body(
                                     columns = cur_column(),
                                     rows = .x == 4
                                   )
                                 ) %>%
                       as_raw_html()
                                          
    ))
 
out1 <- out %>%
     gt() %>%
   fmt_markdown(columns = everything())
out1