Useful tricks for manipulating tibbles with dplyr that I have found useful.

tibble-dplyr-tricks.R

library(tibble)

# create a tibble with no rows, but defined columns
tbl <- tibble(name=character(), age=numeric(), gender=factor())

# add a row to the tibble. The values can even be vectors!!
tbl <- add_row(tbl, name='Steve', age='24', gender='male')