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How to catch integer(0)?

Let's say we have a statement that produces integer(0), e.g.

 a <- which(1:3 == 5)

What is the safest way of catching this?

I don't like the idea of treating it as an error -- in fact R's policy of not collapsing certain empty objects helps to avoid many error-recover flows, and thus leads to much cleaner code.
Don't use which.
You can test with any. It will return FALSE for either which(1:3==5) or for 1:3==5 .
@BondedDust I was trying to find integer(0), which I produced using which as an example.
I know this is old, but could you, hadley, please outline why not to use which? This would be very helpful for me to avoid bad code.

G
Gavin Simpson

That is R's way of printing a zero length vector (an integer one), so you could test for a being of length 0:

R> length(a)
[1] 0

It might be worth rethinking the strategy you are using to identify which elements you want, but without further specific details it is difficult to suggest an alternative strategy.


It may be worth to point out to the future reader that length(NULL) == 0 is also TRUE. user E Nord's answer would be an option to test for integer(0) only
R
Richie Cotton

If it's specifically zero length integers, then you want something like

is.integer0 <- function(x)
{
  is.integer(x) && length(x) == 0L
}

Check it with:

is.integer0(integer(0)) #TRUE
is.integer0(0L)         #FALSE
is.integer0(numeric(0)) #FALSE

You can also use assertive for this.

library(assertive)
x <- integer(0)
assert_is_integer(x)
assert_is_empty(x)
x <- 0L
assert_is_integer(x)
assert_is_empty(x)
## Error: is_empty : x has length 1, not 0.
x <- numeric(0)
assert_is_integer(x)
assert_is_empty(x)
## Error: is_integer : x is not of class 'integer'; it has class 'numeric'.

You could just use !length(x) rather than length(x)==0
@James. True, but I don't think there's much of a performance issue either way, and length(x) == 0L reads more clearly to me.
@RichieCotton. What's up with 0L as opposed to 0? I've tried googling it, but I'm not finding anything relevant. Sorry about the necromancy.
@Ben: Adding an L suffix to a number makes R store it as an integer rather than a floating point value. See, e.g., cran.r-project.org/doc/manuals/R-lang.html#Constants
Thanks! It's saved my time.
m
mbq

Maybe off-topic, but R features two nice, fast and empty-aware functions for reducing logical vectors -- any and all:

if(any(x=='dolphin')) stop("Told you, no mammals!")

Yeah, would be great if there was something like is.empty, cuz some functions return integer(0) instead of NA or NULL. But for now your way is the most straightforward, and works vector-wise which is a big advantage over length(a).
t
tjebo

Inspired by Andrie's answer, you could use identical and avoid any attribute problems by using the fact that it is the empty set of that class of object and combine it with an element of that class:

attr(a, "foo") <- "bar"

identical(1L, c(a, 1L))
#> [1] TRUE

Or more generally:

is.empty <- function(x, mode = NULL){
    if (is.null(mode)) mode <- class(x)
    identical(vector(mode, 1), c(x, vector(class(x), 1)))
}

b <- numeric(0)

is.empty(a)
#> [1] TRUE
is.empty(a,"numeric")
#> [1] FALSE
is.empty(b)
#> [1] TRUE
is.empty(b,"integer")
#> [1] FALSE

This is not the simplest answer, but by far the simplest and safest for beginners.
I
IRTFM
if ( length(a <- which(1:3 == 5) ) ) print(a)  else print("nothing returned for 'a'") 
#[1] "nothing returned for 'a'"

On second thought I think any is more beautiful than length(.):

 if ( any(a <- which(1:3 == 5) ) ) print(a)  else print("nothing returned for 'a'") 
 if ( any(a <- 1:3 == 5 ) ) print(a)  else print("nothing returned for 'a'") 

t
tjebo

You can easily catch integer(0) with function identical(x,y)

x = integer(0)
identical(x, integer(0))
[1] TRUE

foo = function(x){identical(x, integer(0))}
foo(x)
[1] TRUE

foo(0)
[1] FALSE

t
tjebo

another option is rlang::is_empty (useful if you're working in the tidyverse)

The rlang namespace does not seem to be attached when attaching the tidyverse via library(tidyverse) - in this case you use purrr::is_empty, which is just imported from the rlang package.

By the way, rlang::is_empty uses user Gavin's approach.

rlang::is_empty(which(1:3 == 5))
#> [1] TRUE

A
Alex Yahiaoui Martinez

isEmpty() is included in the S4Vectors base package. No need to load any other packages.

a <- which(1:3 == 5)
isEmpty(a)
# [1] TRUE

Well .. S4Vectors is an extra package, and one that is (as of today) not on CRAN