ifelse & grepl commands when using dplyr for SQL in-db operations

Question

In dplyr running on R data frames, it is easy to run

df <- df %>% 
    mutate(income_topcoded = ifelse(income > topcode, income, topcode)

Answer 1

Based on @hadley's reply on this thread, you can use an SQL-style if() statement inside mutate() on dplyr's in-db dataframes:

df <- df %>% 
    mutate( income_topcoded = if (income > topcode) income else topcode)

As far as using grepl() goes...well, you can't. But you can use the SQL like operator:

df  <- df %>%
    filter( topcode %like% "ABC%" )