Assigning one or more values to a vector/matrix/array x for which
length(x) == 0 gives no error, e.g.
> x <- integer(0)
> x[] <- 1:2
> x <- matrix(nrow=0, ncol=1)
> x[] <- 1:2
> x[,1] <- 1:2
> x <- array(dim=c(0,1,1))
> x[] <- 1:2
> x[,1,1] <- 1:2
whereas
> x <- integer(1)
> x[] <- 1:2
Warning
SO,
On Oct 22, 2014, at 10:53 AM, SO User wrote:
>
> Heads up: I posted this question on Stackoverflow yesterday
> (http://stackoverflow.com/questions/26484103/using-a-custom-memory-allocation-function-in-r).
> So far I haven’t gotten a response and I thought this could be an even
> better place
Hi Martyn,
Thanks for the analysis on that, and I'll remember that test in future - I've
not seen a rounding error quite so finely balanced before. I've been using the
"-fp-model precise" advice referenced in that document for a while - apparently
it wasn't sufficient for this case.
Thanks als
On Thu, 2014-10-23 at 08:19 +, Pacey, Mike wrote:
> As my attachment doesn't seem to have survived transit, I'm cut'n'pasting the
> relevant failures here:
>
> Testing examples for package 'stats'
> comparing 'stats-Ex.Rout' to 'stats-Ex.Rout.save' ...
> 6466c6466
> < Grand Mean: 291.5937
>
You are using the word 'failure' in a sense I do not recognize.
Differences are not of themselves errors and not necessarily failures.
I see 'OK', not 'ERROR' here.
For the record, other builds using MKL (but gcc not icc) show similar
differences, and the top of lapack.R says
## NB: the sign
As my attachment doesn't seem to have survived transit, I'm cut'n'pasting the
relevant failures here:
Testing examples for package 'stats'
comparing 'stats-Ex.Rout' to 'stats-Ex.Rout.save' ...
6466c6466
< Grand Mean: 291.5937
---
> Grand Mean: 291.5938
12881c12881
< Murder -0.536 0.418 0.34
