[Rd] S4 classes in existing packages

Liaw, Andy andy_liaw at merck.com
Tue Nov 1 16:55:44 CET 2005


Fritz gave a talk on S4 using pixmap as example at useR! 2004.  You might
want to start with that.  The slides should be on the useR! 2004 web site.

Andy

> From: Jeff Enos
> 
> Thanks to Dirk Eddelbuettel, Matthias Kohl, Professor Ripley, and
> Bernhard Pfaff for their helpful reponses.
> 
> Here is a list of the packages they recommended:
> 
> CRAN: distr distrEx distrSim distrTEst RandVar CoCo DBI IDPmisc Matrix
> RMySQL ROracle RSQLite RUnit SparseM aod arules boolean coin
> colorspace copula deal dynamicGraph fBasics(etc) flexclust flexmix
> giRaph gpclib its kappalab kernalb limma lme4 matlab monoProc
> orientlib partsm pixmap tuneR urca
> 
> R sources: stats4
> 
> BoiC: most/all
> 
> Which of these are thought (by the community as a whole) to use S4
> classes in a method/style that less experienced programmers like me
> should try to learn from and emulate?
> 
> Thanks,
> 
> Jeff
> 
> Prof Brian Ripley writes:
>  > On Tue, 1 Nov 2005, Matthias Kohl wrote:
>  > 
>  > > Jeff Enos schrieb:
>  > >
>  > >> R-devel,
>  > >>
>  > >> I'm interested in looking at some examples of existing 
> R packages that
>  > >> rely heavily on S4 classes to get a feel for varying styles and
>  > >> package organization techniques.  Could you recommend 
> any packages
>  > >> that might serve as a good starting point?
>  > >>
>  > >> Thanks in advance,
>  > >>
>  > >> Jeff
>  > >>
>  > >>
>  > > our packages distr, distrEx, distrSim, distrTEst and 
> RandVar are based
>  > > on S4 classes and methods.
>  > 
>  > As do many others, providing the variety of styles that 
> the questioner 
>  > asked for.  Those that are documented to do so include
>  > 
>  > CoCo DBI IDPmisc Matrix RMySQL ROracle RSQLite RUnit 
> SparseM aod arules 
>  > boolean coin colorspace copula deal dynamicGraph 
> fBasics(etc) flexclust 
>  > flexmix giRaph gpclib its kappalab kernalb limma lme4 
> matlab monoProc 
>  > orientlib partsm pixmap tuneR
>  > 
>  > on CRAM, stats4 in the R sources and most (all?) of BioC.
>  > 
>  > -- 
>  > 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 272866 (PA)
>  > Oxford OX1 3TG, UK                Fax:  +44 1865 272595
> 
> -- 
> Jeff Enos
> Kane Capital Management
> jeff at kanecap.com
> 
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
> 
>



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