It does not solve your problem, but in the future, you should use the  
halton function, since Diethelm Wuertz and I decided it to move  
runif.halton (based on fortran code) to the randtoolbox package. In  
the man page, there is an example of plot:

hist(halton(n = 5000, dim = 1, norm=TRUE), main = "Normal Halton",  
xlab = "x", col = "steelblue3", border = "white")

But unfortunately, I do not have a 64 bit version of R, so I can not  
help you. Let me know if there is a problem with the fortran code.

Christophe

Le 15 sept. 09 à 03:55, Anirban Mukherjee a écrit :

> Sorry, but of course.
>
> rnorm.halton should be "almost" identical to rnorm (rnorm gives draws
> from a 0 mean, 1sd Normal). Halton sequences (amongst other things)
> allow one to draw from the normal in a "more intelligent" fashion when
> integrating. Using hist, you should see the classic "bell curve"
> centered around 0. Almost identical to
>
> hist(rnorm(1000), plot=TRUE)
>
> The 32 bit "version" gives the bell curve. My 64 bit version gives a
> totally different plot (nothing subtle) ... some times with only
> positive values for all 100 draws. My 64 bit version of rnorm.halton
> also often outputs a bunch of NaNs. If both your plots look like a
> bell curve, the problem is on my machine/end.
>
> Thanks very much: do greatly appreciate it.
>
> Best,
> Anirban
>
> On Mon, Sep 14, 2009 at 9:31 PM, Steve Lianoglou
> <mailinglist.honeypot@gmail.com> wrote:
>> Hi,
>>
>> On Mon, Sep 14, 2009 at 8:28 PM, Anirban Mukherjee <anirbanm@smu.edu.sg 
>> >
>> wrote:
>>> To add:
>>>
>>> If I try to install using the mac.binary, it tells me (on opening  
>>> the
>>> 64 bit app) that the package is not installed for x64. And does not
>>> let me load the library when using 64 bit mode. However, if I  
>>> install
>>> the package from source, then it installs for x64, but gives me  
>>> weird
>>> results.
>>>
>>> Again: would appreciate if some one could confirm so that I can
>>> contact the authors and let them know. I do need Halton normals for
>>> some thing I am working on, and I am sitting right on that  
>>> borderline
>>> point where the memory constraints of the 32 bit app are making me
>>> lose sleep ...
>>
>> I wouldn't know what to look for to tell you if it's going wrong or  
>> not.
>>
>> I have no idea about anything related to financial modeling and don't
>> have the fOptions package installed anyway.
>>
>> Perhaps if you post the two images you get:
>> i. what you expect to see/what you get from 32bit
>> ii. the wrong image that you're getting from the 64bit version
>>
>> One of us can confirm/deny that we get the same thing.
>>
>> Otherwise, I really can't give you an educated answer w/o having to
>> looking into what this 'halton' stuff is anyway ...
>>
>> So .. help us help you :-)
>>
>> I'm not sitting at a 64 bit machine atm, so hopefully someone else  
>> can
>> help you before I get back to school tomorrow ...
>>
>> -steve
>>
>> --
>> Steve Lianoglou
>> Graduate Student: Computational Systems Biology
>>  | Memorial Sloan-Kettering Cancer Center
>>  | Weill Medical College of Cornell University
>> Contact Info: http://cbio.mskcc.org/~lianos/contact
>>
>
>
>
> -- 
> Anirban Mukherjee | Assistant Professor, Marketing | LKCSB, SMU
> 5062 School of Business, 50 Stamford Road, Singapore 178899 |  
> +65-6828-1932
>
> _______________________________________________
> R-SIG-Mac mailing list
> R-SIG-Mac@stat.math.ethz.ch
> https://stat.ethz.ch/mailman/listinfo/r-sig-mac

--
Christophe Dutang
Ph.D. student at ISFA, Lyon, France
website: http://dutangc.free.fr







	[[alternative HTML version deleted]]

