The IEEE floating point standard allows for negative zero, but it's hard 
to know that you have one in R.  One reliable test is to take the 
reciprocal.  For example,

 > y <- 0
 > 1/y
[1] Inf
 > y <- -y
 > 1/y
[1] -Inf

The other day I came across one in complex numbers, and it took me a 
while to figure out that negative zero was what was happening:

  > x <- complex(real = -1)
  > x
[1] -1+0i
  > 1/x
[1] -1+0i
  > x^(1/3)
[1] 0.5+0.8660254i
  > (1/x)^(1/3)
[1] 0.5-0.8660254i

(The imaginary part of 1/x is negative zero.)

As a Friday question:  are there other ways to create and detect 
negative zero in R?

And another somewhat more serious question:  is the behaviour of 
negative zero consistent across platforms?  (The calculations above were 
done in Windows in R-devel.)

Duncan Murdoch

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