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 <[email protected]> wrote: > Hi, > > On Mon, Sep 14, 2009 at 8:28 PM, Anirban Mukherjee <[email protected]> > 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 [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-mac
