[R] ctree

[Steve_Friedman at nps.gov]

Joris,

Thank you, your solution did what I needed.


Steve Friedman Ph. D.
Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034

Steve_Friedman at nps.gov
Office (305) 224 - 4282
Fax     (305) 224 - 4147


                                                                           
             Joris Meys                                                    
             <jorismeys at gmail.                                             
             com>                                                       To 
                                       Steve_Friedman at nps.gov              
             06/21/2010 10:03                                           cc 
             AM                        r-help at r-project.org                
                                                                   Subject 
                                       Re: [R] ctree                       
                                                                           
                                                                           
                                                                           
                                                                           
                                                                           
                                                                           




You can't get them out of the plot function, but you can calculate
them from the fit. This code returns a matrix with the appropriate
rownames and colnames.

x1 <- treeresponse(iris.ct)
p <- matrix(
      unlist(unique(x1)),
      ncol=3,
      byrow=T
)

colnames(p) <- levels(iris$Species)
rownames(p) <- unique(where(iris.ct))
p



On Mon, Jun 21, 2010 at 3:28 PM,  <Steve_Friedman at nps.gov> wrote:
>
> Hello,
>
> This is a re-submittal of question I submitted last week, but haven't
rec'd
> any responses.
>
> I need to extract the probabilities used to construct the barplots
> displayed as part of the graph produced by plot("ctree").
>
> For example,
>
> library(party)
>
> iris.ct <- ctree(Species ~ . , data = iris)
> plot(iris.ct)
>
> Instead of a simple example with only 4 terminal nodes, my analysis
> produces 55 terminal nodes, so unless someone is really interested I'm
only
> using the iris data as an example.
>
> This is the model I am sending to ctree. The graph produced is very
> informative, but I need the information from the plot(Marshct)
>
> Marshct <- ctree(Physiogomy ~ meanAnnualDepthAve + meanAnnualDepthWetAve
+
> medAnnualDepthAve + medianAnnualDepthWetAve + medianAnnualDepthDryAve +
> continHydroWetAve + DCHperiodAverage + DCHydroDryAve +
> threeDayWaterDepthMinAve + threeDayWaterDepthMaxAve + sevenDayDryFreqAve
+
> sevenDayWaterDepthMaxAve + sevenDayWaterDepthMinAve +
> seventeenDayWaterDepMaxAve + seventeenDayWaterDepMinAve +
> thirtyoneDayWaterDepthMaxAve + wetIntensityAve + BulkDensity + LOI + TP +
> TN + TC + Total_Mg, data = Marsh)
>
> plot(Marshct)
>
>
> Working in Windows XP with R2.11.1 (2010-05-31)
>
> Thanks
> Steve
>
> Steve Friedman Ph. D.
> Spatial Statistical Analyst
> Everglades and Dry Tortugas National Park
> 950 N Krome Ave (3rd Floor)
> Homestead, Florida 33034
>
> Steve_Friedman at nps.gov
> Office (305) 224 - 4282
> Fax     (305) 224 - 4147
>
> ______________________________________________
> 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.
>



--
Joris Meys
Statistical consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

tel : +32 9 264 59 87
Joris.Meys at Ugent.be
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