assertthat

assertthat provides a drop in replacement for stopifnot() that makes it easy to check the pre- and post-conditions of a function, while producing useful error messages.

x <- 1:10stopifnot(is.character(x))# Error: is.character(x) is not TRUEassert_that(is.character(x))# Error: x is not a character vectorassert_that(length(x) == 5)# Error: length(x) not equal to 5assert_that(is.numeric(x))# [1] TRUE

This is a good defensive programming technique, and is useful as source-code documentation: you can see exactly what your function expects when you come back to it in the future. It is partly a response to the lack of static typing in R, but it allow you to test for general conditions (like length(x) == length(y)) that are difficult to express in a type system.

assertthat can be installed either from CRAN:

install.packages('assertthat')

or with devtools:

devtools::install_github("hadley/assertthat")

New assertions

As well as all the functions provided by R, assertthat provides a few more that I use a lot:

• is.flag(x): is x TRUE or FALSE? (a boolean flag)
• is.string(x): is x a length 1 character vector?
• has_name(x, nm), x %has_name% nm: does x have component nm?
• has_attr(x, attr), x %has_attr% attr: does x have attribute attr?
• is.count(x): is x a single positive integer?
• are_equal(x, y): are x and y equal?
• not_empty(x): are all dimensions of x greater than 0?
• noNA(x): is x free from missing values?
• is.dir(path): is path a directory?
• is.writeable(path)/is.readable(path): is path writeable/readable?
• has_extension(path, extension): does file have given extension?

assert_that, see_if and validate_that

There are three main functions in assertthat:

• assert_that() signal an error

• see_if() returns a logical value, with the error message as an attribute.

• validate_that() returns TRUE on success, otherwise returns the error as a string.

You'll use assert_that() in your own code, but you'll mostly see see_if() in the examples (because R CMD checkrequires that examples run without errors). Use validate_that() for S4 validate methods.

Writing your own assertions

If you're writing your own assertions, you can provide custom error messages using the on_failure() helper:

is_odd <- function(x) {  assert_that(is.numeric(x), length(x) == 1)  x %% 2 == 1}assert_that(is_odd(2))# Error: is_odd(x = 2) is not TRUEon_failure(is_odd) <- function(call, env) {  paste0(deparse(call$x), " is even")}assert_that(is_odd(2))# Error: 2 is even

The on_failure callback is called with two arguments, the unevaluated function call (which has already been standardised with match.call()), and env, and the environment in which the assertion was executed. This allows you to choose between displaying values or names in your error messages. Read the advanced R book to learn more about working with calls.

Also note the use of assert_that() in our new function: assertions flow through function calls ensuring that you get a useful error message at the top level:

assert_that(is_odd("b"))# Error: x is not a numeric or integer vectorassert_that(is_odd(1:2))# Error: length(x) not equal to 1