[R] lda source code

[Uwe Ligges]

Frank Gibbons wrote:
> Wei Geng,
> 
> I asked the same question about six weeks ago, so let me try to answer 
> it. The source for the entire package 'MASS' is in a single file, I 
> believe (at least this is true on my Linux setup). 


The thread gets boring, but let me correct this "belief":

NO! There is one file including all R code, if you are looking into the 
binary installation of a package, and then the C/Fortran sources are not 
more visible.

Look into the source distribution of a package for a more structured 
view of things!

Uwe Ligges




 > The exact location of
> that file you'll have to determine by searching the directory/folder 
> where you installed it. The function 'lda' is implemented entirely in R 
> itself, like much of its functionality. Look at the functions 'lda' and 
> 'predict.lda' in this file for details.
> 
> Comments are sparse in most R code, from what I gather, but if you look 
> in "Pattern Recognition and Neural Networks" by Brian Ripley (one of the 
> authors of this package), you'll find a discussion in section 2.4 
> 'Predictive classification' that covers much of what's going on, from 
> what I've been able to glean.
> 
> I hope that helps. There are certainly others out there who are more au 
> fait with this than me.
> 
> -Frank Gibbons
> 
> 
> At 05:47 PM 10/1/2003, you wrote:
> 
>> Wei Geng wrote:
>>
>>> I am new to R. Trying to find out how lda() {in MASS R1.8.0 Windows} was
>>> implemented in R. Does anyone know where to find out lda source code ?
>>> Thanks.
>>
>>
>> Here:
>>
>> http://cran.r-project.org
>>
>> Hint: MASS is a *package*.  You want to view its *source*.
>>
>> Same with most other R packages.  Or just about anything else you want 
>> to know about R.
>>
>> Cheers
>>
>> Jason
>> -- 
>> Indigo Industrial Controls Ltd.
>> http://www.indigoindustrial.co.nz
>> 64-21-343-545
>> jasont at indigoindustrial.co.nz
>>
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
>> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> 
> 
> PhD, Computational Biologist,
> Harvard Medical School BCMP/SGM-322, 250 Longwood Ave, Boston MA 02115, 
> USA.
> Tel: 617-432-3555       Fax: 617-432-3557       
> http://llama.med.harvard.edu/~fgibbons
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help