On Wed, 18 Jan 2012, seanstcl...@verizon.net wrote:
Hello. I have used the "party" package to generate a regression tree as
follows:
>origdata<-read.csv("origdata.csv")
>ctrl<-ctree_control(mincriterion=0.99,maxdepth=10,minbucket=10)
>test.ct<-ctree(Y~X1+X2+X3,data=origdata,control=
Hello. I have used the "party" package to generate a regression tree as
follows:
>origdata<-read.csv("origdata.csv")
>ctrl<-ctree_control(mincriterion=0.99,maxdepth=10,minbucket=10)
>test.ct<-ctree(Y~X1+X2+X3,data=origdata,control=ctrl)
The above works fine. Orig data was my
On Fri, 9 Jul 2010, steve_fried...@nps.gov wrote:
Hello,
I've been using ctree and have developed a 55 node - 28 terminal solution.
As can be imagined, the plot is difficult to travel down each of the major
branches.
I've read the help files for ctree I saw where terminal nodes can be color
c
re colored.
?dendrapply
HTH.
H
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of steve_fried...@nps.gov
Sent: Friday, July 09, 2010 10:22 AM
To: r-help@r-project.org
Subject: [R] Ctree Question
Hello,
I've been using ctree and
Hello,
I've been using ctree and have developed a 55 node - 28 terminal solution.
As can be imagined, the plot is difficult to travel down each of the major
branches.
I've read the help files for ctree I saw where terminal nodes can be color
coded.
plot(airct, type = "simple")
> plot(airct, te
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