[R] Is there an ID3 implementation in R?

[Ista Zahn]

This is explained in the RWeka vignette, but briefly:

## load RWeka
library(RWeka)
## look for a package providing id3
WPM("refresh-cache")
WPM("list-packages", "available") ## look for id3
## install package providing id3
WPM("install-package", "simpleEducationalLearningSchemes")
## load the package
WPM("load-package", "simpleEducationalLearningSchemes")
## make classifier
ID3 <- make_Weka_classifier("weka/classifiers/trees/Id3")
## test it out.
DF2 <- read.arff(system.file("arff", "contact-lenses.arff",
                             package = "RWeka"))
ID3(`contact-lenses` ~ ., data = DF2)


Best,
Ista

On Tue, Sep 2, 2014 at 11:42 AM, Christian Schulz <chschulz at email.de> wrote:
> Yes with: make_Weka_classifier(name, class = NULL, handlers = list(), init =
> NULL)
> HTH, Christian
>
>
>
>> Hi Wensui,
>>
>> When I looked at their docs:
>> http://cran.r-project.org/web/packages/RWeka/RWeka.pdf
>> It appeared they only have a connection to:
>> J48
>> LMT
>> M5P
>> DecisionStump
>>
>> Is it possible to connect it to:
>> http://www.cs.tufts.edu/~ablumer/weka/doc/weka.classifiers.Id3.html
>>
>> If so, how?
>>
>> Thanks.
>>
>>
>>
>>
>> ----------------Contact
>> Details:-------------------------------------------------------
>> Contact me: Tal.Galili at gmail.com |
>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
>> www.r-statistics.com (English)
>>
>> ----------------------------------------------------------------------------------------------
>>
>>
>>
>> On Tue, Sep 2, 2014 at 6:13 PM, Wensui Liu <liuwensui at gmail.com> wrote:
>>
>>> Rweka
>>> On Sep 2, 2014 11:04 AM, "Tal Galili" <tal.galili at gmail.com> wrote:
>>>
>>>> Dear R help mailing list,
>>>>
>>>> I am looking for an ID3 implementation in R. I know that there are many
>>>> other decision tree algorithms already implemented (via rpart, tree,
>>>> caret,
>>>> C50, etc., etc.), but for research purposes I would like to reproduce
>>>> the
>>>> result of running ID3.
>>>>
>>>> I was not able to find such an implementation when searching in any of
>>>> the
>>>> following:
>>>> http://rseek.org/
>>>> http://finzi.psych.upenn.edu/search.html
>>>> http://cran.r-project.org/web/views/MachineLearning.html
>>>>
>>>> Any suggestions?
>>>>
>>>> Thanks,
>>>> Tal
>>>>
>>>>
>>>> ----------------Contact
>>>> Details:-------------------------------------------------------
>>>> Contact me: Tal.Galili at gmail.com |
>>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
>>>> www.r-statistics.com (English)
>>>>
>>>>
>>>> ----------------------------------------------------------------------------------------------
>>>>
>>>>          [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> 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.
>>>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> 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.
>>
>
> ______________________________________________
> 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.