Convert dataframe column to 1 or 0 for "true"/"false" values and assign to dataframe

Question

In the R cli I am able to do the following on a character column in a data frame:

> data.frame$column.name [data.frame$column.name == "true"] <- 1 > data.frame$column.name [data.frame$column.name == "false"] <- 0 > data.frame$column.name <- as.integer(data.frame$column.name) 

I would like to do this as a function and I tried the following code, inputing data.frame$column.name as arg1. I see that it is working when I return(arg1) but how do I return the operation to the original data.frame?

boolean.integer <- function(arg1) {   arg1 [arg1 == "true"] <- 1   arg1 [arg1 == "false"] <- 0   arg1 <- as.integer(arg1) } 

Answer 1

@chappers solution (in the comments) works as.integer(as.logical(data.frame$column.name))