deepayan.sarkar at gmail.com wrote:
On 8/31/07, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
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.)
No, I get
1/ Im(1/complex(real = -1))
[1] Inf
sessionInfo()
R version 2.6.0 Under development (unstable) (2007-08-16 r42532) x86_64-unknown-linux-gnu This is on an AMD 64, and I get -Inf on everything else I've tried so far, which are all Intel.
Okay, I hope this isn't line noise, but our AMD 64 with R version 2.5.1 gets: > 1/ Im(1/complex(real = -1)) [1] -Inf > sessionInfo() R version 2.5.1 (2007-06-27) x86_64-pc-linux-gnu locale: LC_CTYPE=en_US;LC_NUMERIC=C;LC_TIME=en_US;LC_COLLATE=en_US;LC_MONETARY=en_US;LC_MESSAGES=en_US;LC_PAPER=en_US;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US;LC_IDENTIFICATION=C attached base packages: [1] "stats" "graphics" "grDevices" "utils" "datasets" "methods" [7] "base" Should I compile R-devel and post the results of the above? Jeff