Hi guys,
I have a dataset obtained as:
mydata <- read.csv("data.csv", header = TRUE) which contains the variable
'y' (y is binary 0 or 1) and some regressor variables.
I want to apply the ctree technique on this data with the following
requirements:
1> Of course I would need the tree plot (which I
Hi Achim,
Thank you for the quick suggestion. I actually did the first split
manually, then grew two trees in the two subsets, it worked.
Best,
Sal
Hello,
My question is related to ctree() function from the library 'party'.
See fortune(58).
Yeah, package 'party' - sorry for the confusion
On Mon, 1 Apr 2013, Salvatore Loguercio wrote:
Hello,
My question is related to ctree() function from the library 'party'.
See fortune(58).
Is there a way to force ctree() to use a specific variable in the first
split?
No way that does this automatically.
I am asking because the first sp
Hello,
My question is related to ctree() function from the library 'party'.
Is there a way to force ctree() to use a specific variable in the first
split? I am asking because the first split contains two variables with
very similar scores, and choosing the alternative variable would induce
a t
Did you try the example that I sent you? I think it does what you ask for...
(sent from mobile phone)mia88 wrote:Hey thanks
for your help. Im afraid its a little bit too complicated for me..
Before I do al lot of research in the next days to finally understand it I
would like to make sure that
Hey thanks for your help. Im afraid its a little bit too complicated for me..
Before I do al lot of research in the next days to finally understand it I
would like to make sure that it does help me with my problem.
Maybe I explain it once again : For example in the first node I can read
that group
On Wed, 14 Nov 2012, mia88 wrote:
Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the
prediction of my 2 groups. (see picture) Unfortunately I need a larger
scale to read the exact prediction of my groups to get the specificity
and sensitivity. I tried to change the scale wit
Hello,
I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of
my 2 groups. (see picture)
Unfortunately I need a larger scale to read the exact prediction of my
groups to get the specificity and sensitivity. I tried to change the scale
with "axis" but it didn't work, my guess b
Hi,
You may want to check grid.arrange in gridExtra package.
Weidong
On Thu, Aug 9, 2012 at 7:36 AM, rodrock wrote:
> HI everybody!
>
> Has anybody figure out how would be possible to plot several ctree plots
> beside each other?
> I would really appreciate it
> My idea would be like this, but
HI everybody!
Has anybody figure out how would be possible to plot several ctree plots
beside each other?
I would really appreciate it
My idea would be like this, but the par() function seem to be lower in
hierarchy
Thanks in advance
#
libra
Thanks David!!!
Sorry for the stupid question...
Seems like I still have issues with pec, but I will work on it some more...
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On May 17, 2012, at 11:04 AM, ofraam wrote:
Thanks very much Achim!
I was indeed using "pec" which requires "rms"...
I see now that the old version of pec that I used didn't require rms
and
therefore I had no problem.. I'm guessing I don't need the rms
methods for
my use of pec, but am no
Thanks very much Achim!
I was indeed using "pec" which requires "rms"...
I see now that the old version of pec that I used didn't require rms and
therefore I had no problem.. I'm guessing I don't need the rms methods for
my use of pec, but am not sure how I can remove the dependency or
alternativ
On Thu, 17 May 2012, ofraam wrote:
Hi All,
I'm using the party package to grow conditional inference trees for survival
analysis.
When I used party version party_0.9-9991 everything worked well, but when I
update to party_1.0-2 (due to using 64bit R), I get an error. For simplicity
I will show
Hi All,
I'm using the party package to grow conditional inference trees for survival
analysis.
When I used party version party_0.9-9991 everything worked well, but when I
update to party_1.0-2 (due to using 64bit R), I get an error. For simplicity
I will show the error I get for the example in t
Dear all,
I use the function ctree() from the party library to calculate
classification tree models.
I want to validate models by 10-fold cross validation and estimate
mean and standard deviation of correct classification rates (CCR) from
the10 resulting confusion matrices.
So far I use the “write
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 Thu, 28 Jul 2011, seanstcl...@verizon.net wrote:
I am running the ctree function in R.
My data has about 10 variables, many of which are categorical. 2 of the
categorical variables have many levels (one has 900 levels, another has
1,000 levels). As an example, 1 of these variabl
I am running the ctree function in R.
My data has about 10 variables, many of which are categorical. 2 of the
categorical variables have many levels (one has 900 levels, another has
1,000 levels). As an example, 1 of these variables is disease code and is
structured as A, B, C,
Yup, thats the culprit. Thx.
//M
On 28. apr. 2011, at 18.36, Achim Zeileis wrote:
> On Thu, 28 Apr 2011, moleps wrote:
>
>> sessionInfo yields the following:
>
> OK, the "Design" package causes the problem here. When you load the Design
> package, it provides a new Surv() and related methods
On Thu, 28 Apr 2011, moleps wrote:
sessionInfo yields the following:
OK, the "Design" package causes the problem here. When you load the Design
package, it provides a new Surv() and related methods. This clashes with
the computations of ctree() based on Surv(). So it's better not to load
bo
sessionInfo yields the following:
> sessionInfo()
R version 2.11.1 (2010-05-31)
x86_64-apple-darwin9.8.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats4tcltk splines grid stats graphics grDevices
utils datasets metho
It would help people who know more about R's guts than me if you
posted your sessionInfo() output and exactly what commands produced
your error.
It is also recommended that you try simply upgrading R to the latest
version and see if you get an error with the latest version of
'party'. My guess is
Forgot to mention that the ctree command is from the party library.
//M
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented,
Dear all,
I was intrigued by the ctree command and wanted to check it out. I first ran
the demo with example(ctree) and did get the survival graphs in the end. Upon
doing this with my own data and yielding a "Invalid operation on a survival
time" I tried to rerun example(ctree) and now I also g
On Thu, 24 Mar 2011, jdanielnd wrote:
Hello!
I am not familiar to deal with S4 objects in R, so this question can be
stupid, but I hope I can get an answer. :P
I'm trying to extract what are the response and explanatory variables from a
Binary Tree and Random Forest.
I could already extract t
Hello!
I am not familiar to deal with S4 objects in R, so this question can be
stupid, but I hope I can get an answer. :P
I'm trying to extract what are the response and explanatory variables from a
Binary Tree and Random Forest.
I could already extract the response variable from a Binary Tree u
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
On Tue, 6 Jul 2010, Paras Sharma wrote:
Hello,
When using the ctree function, from library (party) what is the syntax to
order the Variables in the nodes in a specific way?
For example, how would I specify to make a binary come first, then a
continuous variable?
Not sure what you mean here.
Hello,
When using the ctree function, from library (party) what is the syntax to
order the
Variables in the nodes in a specific way?
For example, how would I specify to make a binary come first, then a
continuous variable?
Also is there a way to force ctree to show variables which are
10:03 cc
AMr-help@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)
rowname
On Mon, 21 Jun 2010, steve_fried...@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,
libr
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
On 2010-03-09 04:40, valeriano.parravic...@unige.it wrote:
Hi,
I have a problem with ctree of party package.
I have data on distribution of more than one species (about 50 species) and I
would like identify the relation of this multivariate object (species
distribution) with a number of explanat
Your description of your data isn't clear to me.
What are the values in column 2, for example?
Are you trying to construct regression or classification trees?
A reproducible example would really help.
-Peter Ehlers
On 2010-03-08 20:40, valeriano.parravic...@unige.it wrote:
Hi,
I have a probl
Hi,
I have a problem with ctree of party package.
I have data on distribution of more than one species (about 50 species) and I
would like identify the relation of this multivariate object (species
distribution) with a number of explanatory variables.
rs is the name of my dataframe containing the
On Fri, 20 Nov 2009, Sam Thomas wrote:
When plotting Binary Trees (ctree) from the party package, is there a
way to adjust the font sizes of the leaves?
Currently, this is not implemented in "party". In interactive usage it is
not easy to change the fontsize. If you're printing to PDF, you co
When plotting Binary Trees (ctree) from the party package, is there a
way to adjust the font sizes of the leaves?
require(party)
irisct <- ctree(Species ~ ., data = iris)
plot(irisct)
I want to adjust the font sizes for "Node 2", "Node 5", etc. I'd also
like to be able to adjust the fo
Hi,
I want to run the R-function ctree (package party) from Java over Rserve
with the following Java-Code:
try{
RConnection v = new RConnection();
v.voidEval("library(party)");
v.voidEval("try(load(\"C:\\Documents and Settings\\daten2.rda\"))");
v.voidEval("try(pdf(\"C:\\Documents and Settings\\t
Hi,
Similar to the R function of converting rpart into rules (see
example:
http://books.huihoo.org/data-mining-desktop-survival-guide/Convert_Tree.
html_
is there any open code to
convert ctree (from party) into rule format?
This would be very useful.
thanks
Dhruv
Dhruv Sharma
On Mon, 2008-06-30 at 10:41 -0700, Birgitle wrote:
> I tried to use ctree but am not sure about the meaning of the plot.
>
> My.data.ct<-ctree(Resp~., data=My.data)
> plot(My.data.ct)
>
> My data.frame contains 88 explanatory variables (continous,ordered/unordered
> multistate,count data) and one
I tried to use ctree but am not sure about the meaning of the plot.
My.data.cf<-ctree(Resp~., data=My.data)
plot(FemMalSex_NAavoid88.ct)
My data.frame contains 88 explanatory variables (continous,ordered/unordered
multistate,count data) and one response with two groups.
In the plot are only two
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