[R] R.oo and S4?

[Henrik Bengtsson]

Please what I already wrote in my previous message of this thread.
Also, everything in R.oo is based on S3 and it uses standard R
constructs and data types to achieve what it does.

You can submit packages based on R.oo, and there are several such
packages on CRAN, see 'Reverse dependencies' on
http://cran.r-project.org/web/packages/R.oo/.   Who told you it is not
possible?

/Henik

On Wed, Nov 11, 2009 at 6:26 PM, Peng Yu <pengyu.ut at gmail.com> wrote:
> I'm very familiar with C++. In this sense, it is easier for me to
> learn R.oo according to your advice. On the other hand, S3 and S4 are
> the most used. I'm wondering what would be the best choice for me. Do
> you have any recommendation considering the pros and cons of both
> ways?
>
> Is it true that packages based on R.oo can not be deposited to CRAN?
>
> On Mon, Oct 26, 2009 at 1:28 PM, Gabor Grothendieck
> <ggrothendieck at gmail.com> wrote:
>> S3 and S4 are part of the core of R so they would presumably be the
>> most used.  S4 is an extension to S3 but adds strong typing and a
>> number of other features.  R.oo and proto are packages on CRAN which
>> give access to different models of object oriented programming than S3
>> and S4. R.oo uses a more conventional model of OO than S3 or S4 that
>> is probably closer to what you are used to if you are coming form
>> another language while proto uses the prototype model (or pure object
>> model). proto tends to apply in user interface applications and there
>> is some info on which other packages make use of proto on the proto
>> home page at: http://r-proto.googlecode.com
>>
>> On Mon, Oct 26, 2009 at 2:47 PM, Peng Yu <pengyu.ut at gmail.com> wrote:
>>> There are different way to make R classes. I know R.oo and S4. I'm
>>> wondering which one is the current popular one. Which one is current
>>> recommended when make new R packages? Thank you!
>>>
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>>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>