Exercises

Using the same function below, please answer the following questions

perc_error <- function(prediction, data){
    err <- prediction - data
    abs_err <- abs(err / data) * 100
    return(abs_err)
}

• What happens if you try to run perc_error(9), i.e. missing one of the inputs?
• What happens if you completely delete the line with return(abs_err), what happens when you run perc_error(90, 100)? What about when you run outcoe <- perc_error(90, 100)? (This is something weird that R does)
• Is perc_error(90, 100) the samer as perc_error(100, 90)?
• What is perc_error(data=100, prediction=90)? (We are passing the arguments in by name)
• What happens if you try perc_error(90, "100") (you should be able to explain this error!)