Column contents can be removed from an rtable during post-processing using the workaround demonstrated in the following example.

For a more precise solution, instead of attaching your table code please provide a fully reproducible example (with output). This can be generated in R using the reprex::reprex() function.

This method of creating empty columns is generally not recommended - it is advised that rtables users create a custom analysis function that does exactly what is needed instead of removing values during post-processing.

library(rtables)

lyt <- basic_table() %>%
    split_cols_by("ARM") %>%
    analyze("AGE", afun = list_wrap_x(summary), format = "xx.xx")

tbl <- build_table(lyt, DM)
tbl
#>           A: Drug X   B: Placebo   C: Combination
#> —————————————————————————————————————————————————
#> Min.        20.00       21.00          22.00     
#> 1st Qu.     29.00       29.00          30.00     
#> Median      33.00       32.00          33.00     
#> Mean        34.91       33.02          34.57     
#> 3rd Qu.     39.00       37.00          38.00     
#> Max.        60.00       55.00          53.00

# empty all rows in columns 1 and 3
for (col in c(1, 3)) {
    for (row in seq_len(nrow(tbl))) {
        tbl[row, col] <- rcell("", format = "xx")
    }
}
tbl
#>           A: Drug X   B: Placebo   C: Combination
#> —————————————————————————————————————————————————
#> Min.                    21.00                    
#> 1st Qu.                 29.00                    
#> Median                  32.00                    
#> Mean                    33.02                    
#> 3rd Qu.                 37.00                    
#> Max.                    55.00