What's the difference between identical(x, y) and isTRUE(all.equal(x, y))?

Question

Is there any difference between testing isTRUE(all.equal(x, y)) and identical(x, y)?

The help page says:

Don\'t use

Answer 1

all.equal tests for near equality, while identical is more exact (e.g. it has no tolerance for differences, and it compares storage type). From ?identical:

The function ‘all.equal’ is also sometimes used to test equality this way, but was intended for something different: it allows for small differences in numeric results.

And one reason you would wrap all.equal in isTRUE is because all.equal will report differences rather than simply return FALSE.

Answer 2

In addition to differences in numerical tolerance and comparison of storage mode, unlike all.equal(), identical also tests equality of associated environments. Regular objects in R don't normally have associated environments -- they are most commonly associated with function and formula (and terms) objects. But to illustrate, I'll give two trivial objects different (newly created) environments:

x <- 2; environment(x) <- new.env()
y <- 2; environment(y) <- new.env()
all.equal(x,y)   ## TRUE
identical(x,y)   ## FALSE

There is an ignore.environment argument:

ignore.environment: logical indicating if their environments should be ignored when comparing closures.

but since it is only applied when comparing closures (i.e. functions), it doesn't make a difference in this case - nor will it make a difference when comparing formulae or terms objects.

Answer 3

identical is fussier. For example:

> identical(as.double(8), as.integer(8))
[1] FALSE
> all.equal(as.double(8), as.integer(8))
[1] TRUE
> as.double(8) == as.integer(8)
[1] TRUE