[R] what is the .Machine$double.xmin for a 64 bit machine?

[Prof Brian Ripley]

It's a floating-point quantity: `64 bit' refers to the pointer size 
(only).

Almost all current R platforms use IEC60559 arithmetic for real numbers 
and 32-bit integers for integers, so differ only in the way the compiler 
orders operations and stores to memory (thereby losing precision on some 
CPUs).

On Tue, 12 Jul 2005, S.O. Nyangoma wrote:

>
> I use a 32 bit machine. For those using 64 bit machines,
>
> what is the .Machine$double.xmin for for machines?
>
> regards. Stephen.
>
>
>
>
> ----- Original Message -----
> From: Achim Zeileis <Achim.Zeileis at wu-wien.ac.at>
> Date: Tuesday, July 12, 2005 10:51 am
> Subject: Re: [R] exact values for p-values - more information.
>
>> On Tue, 12 Jul 2005, S.O. Nyangoma wrote:
>>
>>>> If they have the same degrees of freedom, use the test statistic
>>>> and not
>>>> the p value for comparing them.
>>>> Z
>>>
>>> I appretiate your input to this discussion. Do you know of a
>> reference> to your statement above?
>>
>> ?? Any basic statistics book? Distribution functions tend to be
>> monotonous.
>>
>>> I had actually used the test-statistic which in my case is r-
> squared
>>> to compare them. This is in my view was adequate but I also
>> think it
>>> is more convincing to say something about the p-values
>>
>> Not really `more' convincing, it's all pretty equivalent when the
>> numberof estimated parameters is the same. You can also compare
>> the fitted
>> models via their associated residual sum of squares which I would
> find
>> most intuitive because that is the objective function you are
>> trying to
>> minimize via OLS.
>> Z
>>
>>> (difficulties
>>> in computing them, and hence the rationale of solely using the
>> test-
>>> stat).
>>>
>>> regards. Stephen.
>>>
>>>
>>>
>>
>
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-- 
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)
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