R help - May 2001 - matrix: suspected integer overflow

Is the following a known issue, in particular in terms of message clarity of the
latter two?
> matrix(0, 10^8, 10^8)
Error: cannot allocate vector of size 2064896 Kb
> matrix(0, 20, 10^10)
Error in matrix(0, 20, 10^10) : negative length vectors are not
allowed
> matrix(0, 10^10, 10^10)
Error: cannot allocate vector of size 0 Kb

# looks better for arrays:
> array (0, c(20, 10^10))
Error: cannot allocate vector of size 4194303 Kb
In addition: Warning message:
inaccurate integer conversion in coercion
>
> array(0, c(10^10, 10^10))
Error: cannot allocate vector of size 4194303 Kb
In addition: Warning message:
inaccurate integer conversion in coercion
> version
         _
platform powerpc-ibm-aix4.3.0.0
arch     powerpc
os       aix4.3.0.0
system   powerpc, aix4.3.0.0
status
major    1
minor    2.2
year     2001
month    02
day      26
language R

Best regards,

     Andreas Krause


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On Wed, 9 May 2001 andreas.krause at pharma.novartis.com wrote:
> Is the following a known issue, in particular in terms of message clarity
of the latter two?
Yes, bug PR#929.  It's a bug in asInteger, an internal C routine which
using (int) on a double.  coerce.c has better routines used to corce
vectors, and the comment

/* This section of code handles type conversion for elements */
/* of data vectors.  Type coercion throughout R should use these */
/* routines to ensure consistency. */

!

I have altered asInteger (etc) to use the same routines.

However, I am not happy with what IntegerFromReal does: it gives the
maximum integer and the message.  I think it would be much better to return
NA in that cirumstance, when most uses of asInteger would give up
(correctly) and generate a meaningful error.

Comments, R-core?
> > matrix(0, 10^8, 10^8)
> Error: cannot allocate vector of size 2064896 Kb
> > matrix(0, 20, 10^10)
> Error in matrix(0, 20, 10^10) : negative length vectors are not allowed
> > matrix(0, 10^10, 10^10)
> Error: cannot allocate vector of size 0 Kb
[...]

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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