Re: [R] Accessing terminal datasets in Ctree()

[Achim Zeileis]

On Mon, 2 May 2016, Preetam Pal wrote:


Great, thank you so much Achim.But one issue, in case I do not know how many
terminal nodes would be there, what do I do? Note that I do not need the
datasets corresponding to the intermediate nodes only need the terminal
datasets.


With predict(ct, type = "node") you can set up a new variable, e.g.,

iris$node <- factor(predict(ct, type = "node"))

and then use this to obtain the subset corresponding to each of the 
terminal nodes.



Regards,
Preetam 

On Tue, May 3, 2016 at 3:08 AM, Achim Zeileis 
wrote:
  On Mon, 2 May 2016, Preetam Pal wrote:

Hi guys,

If I am applying ctree() on a data (specifying some
control parameters like
maxdepth), is there a way I can programmatically
access the (smaller)
datasets corresponding to the terminal nodes in the
tree? Say, if there are
7 terminal nodes, I need those 7 datasets (of
course, I can look at the
respective node-splitting attributes and write out a
filtering function -
but clearly too much to ask for if I have a large
number of terminal
nodes). Intention is to perform regression on each
of these terminal
datasets.


  If you use the "partykit" implementation you can do:

  library("partykit")
  ct <- ctree(Species ~ ., data = iris)
  data_party(ct, id = 6)

  to obtain the data associated with node 6 for example. You can
  also use ct[6] to obtain the subtree and ct[6]$data for its
  associated data.

  For setting up a factor with the terminal node IDs, you can also
  use predict(ct, type = "node") and then use that in lm() etc.

  Finally, note that there is also lmtree() and glmtree() for
  trees with (generalized) linear models in their nodes.

Regards,
Preetam

--
Preetam Pal
(+91)-9432212774
M-Stat 2nd Year,                                   
         Room No. N-114
Statistics Division,                               
           C.V.Raman
Hall
Indian Statistical Institute,                       
         B.H.O.S.
Kolkata.

        [[alternative HTML version deleted]]

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--
Preetam Pal                                                  
(+91)-9432212774
M-Stat 2nd Year,                                             Room No. N-114
Statistics Division,                                           C.V.Raman
HallIndian Statistical Institute,                                 B.H.O.S.
Kolkata.



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Re: [R] Accessing terminal datasets in Ctree()

[Preetam Pal]

Again, really appreciate your help on this. Thanks, Achim.
-Preetam

On Tue, May 3, 2016 at 3:22 AM, Achim Zeileis 
wrote:

> On Mon, 2 May 2016, Preetam Pal wrote:
>
> Great, thank you so much Achim.But one issue, in case I do not know how
>> many
>> terminal nodes would be there, what do I do? Note that I do not need the
>> datasets corresponding to the intermediate nodes only need the terminal
>> datasets.
>>
>
> With predict(ct, type = "node") you can set up a new variable, e.g.,
>
> iris$node <- factor(predict(ct, type = "node"))
>
> and then use this to obtain the subset corresponding to each of the
> terminal nodes.
>
>
> Regards,
>> Preetam
>>
>> On Tue, May 3, 2016 at 3:08 AM, Achim Zeileis 
>> wrote:
>>   On Mon, 2 May 2016, Preetam Pal wrote:
>>
>> Hi guys,
>>
>> If I am applying ctree() on a data (specifying some
>> control parameters like
>> maxdepth), is there a way I can programmatically
>> access the (smaller)
>> datasets corresponding to the terminal nodes in the
>> tree? Say, if there are
>> 7 terminal nodes, I need those 7 datasets (of
>> course, I can look at the
>> respective node-splitting attributes and write out a
>> filtering function -
>> but clearly too much to ask for if I have a large
>> number of terminal
>> nodes). Intention is to perform regression on each
>> of these terminal
>> datasets.
>>
>>
>>   If you use the "partykit" implementation you can do:
>>
>>   library("partykit")
>>   ct <- ctree(Species ~ ., data = iris)
>>   data_party(ct, id = 6)
>>
>>   to obtain the data associated with node 6 for example. You can
>>   also use ct[6] to obtain the subtree and ct[6]$data for its
>>   associated data.
>>
>>   For setting up a factor with the terminal node IDs, you can also
>>   use predict(ct, type = "node") and then use that in lm() etc.
>>
>>   Finally, note that there is also lmtree() and glmtree() for
>>   trees with (generalized) linear models in their nodes.
>>
>> Regards,
>> Preetam
>>
>> --
>> Preetam Pal
>> (+91)-9432212774
>> M-Stat 2nd Year,
>>  Room No. N-114
>> Statistics Division,
>>C.V.Raman
>> Hall
>> Indian Statistical Institute,
>>  B.H.O.S.
>> Kolkata.
>>
>> [[alternative HTML version deleted]]
>>
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE
>> and more, see
>> 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.
>>
>>
>>
>>
>> --
>> Preetam Pal
>> (+91)-9432212774
>> M-Stat 2nd Year, Room No.
>> N-114
>> Statistics Division,   C.V.Raman
>> HallIndian Statistical Institute, B.H.O.S.
>> Kolkata.
>>
>>


-- 
Preetam Pal
(+91)-9432212774
M-Stat 2nd Year, Room No. N-114
Statistics Division,   C.V.Raman
Hall
Indian Statistical Institute, B.H.O.S.
Kolkata.

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

Re: [R] Accessing terminal datasets in Ctree()

[Preetam Pal]

Great, thank you so much Achim.
But one issue, in case I do not know how many terminal nodes would be
there, what do I do? Note that I do not need the datasets corresponding to
the intermediate nodes only need the terminal datasets.
Regards,
Preetam

On Tue, May 3, 2016 at 3:08 AM, Achim Zeileis 
wrote:

> On Mon, 2 May 2016, Preetam Pal wrote:
>
> Hi guys,
>>
>> If I am applying ctree() on a data (specifying some control parameters
>> like
>> maxdepth), is there a way I can programmatically access the (smaller)
>> datasets corresponding to the terminal nodes in the tree? Say, if there
>> are
>> 7 terminal nodes, I need those 7 datasets (of course, I can look at the
>> respective node-splitting attributes and write out a filtering function -
>> but clearly too much to ask for if I have a large number of terminal
>> nodes). Intention is to perform regression on each of these terminal
>> datasets.
>>
>
> If you use the "partykit" implementation you can do:
>
> library("partykit")
> ct <- ctree(Species ~ ., data = iris)
> data_party(ct, id = 6)
>
> to obtain the data associated with node 6 for example. You can also use
> ct[6] to obtain the subtree and ct[6]$data for its associated data.
>
> For setting up a factor with the terminal node IDs, you can also use
> predict(ct, type = "node") and then use that in lm() etc.
>
> Finally, note that there is also lmtree() and glmtree() for trees with
> (generalized) linear models in their nodes.
>
> Regards,
>> Preetam
>>
>> --
>> Preetam Pal
>> (+91)-9432212774
>> M-Stat 2nd Year, Room No.
>> N-114
>> Statistics Division,   C.V.Raman
>> Hall
>> Indian Statistical Institute, B.H.O.S.
>> Kolkata.
>>
>> [[alternative HTML version deleted]]
>>
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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.
>>
>>


-- 
Preetam Pal
(+91)-9432212774
M-Stat 2nd Year, Room No. N-114
Statistics Division,   C.V.Raman
Hall
Indian Statistical Institute, B.H.O.S.
Kolkata.

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

Re: [R] Accessing terminal datasets in Ctree()

[Achim Zeileis]

On Mon, 2 May 2016, Preetam Pal wrote:


Hi guys,

If I am applying ctree() on a data (specifying some control parameters like
maxdepth), is there a way I can programmatically access the (smaller)
datasets corresponding to the terminal nodes in the tree? Say, if there are
7 terminal nodes, I need those 7 datasets (of course, I can look at the
respective node-splitting attributes and write out a filtering function -
but clearly too much to ask for if I have a large number of terminal
nodes). Intention is to perform regression on each of these terminal
datasets.


If you use the "partykit" implementation you can do:

library("partykit")
ct <- ctree(Species ~ ., data = iris)
data_party(ct, id = 6)

to obtain the data associated with node 6 for example. You can also use 
ct[6] to obtain the subtree and ct[6]$data for its associated data.


For setting up a factor with the terminal node IDs, you can also use 
predict(ct, type = "node") and then use that in lm() etc.


Finally, note that there is also lmtree() and glmtree() for trees with 
(generalized) linear models in their nodes.



Regards,
Preetam

--
Preetam Pal
(+91)-9432212774
M-Stat 2nd Year, Room No. N-114
Statistics Division,   C.V.Raman
Hall
Indian Statistical Institute, B.H.O.S.
Kolkata.

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.