similar to: party package: ctree - survival data - extracting statistics/predictors

Like earth can be trained simultaneously for degree and nprune, is there a way to train ctree simultaneously for mincriterion and maxdepth? Also, I notice there are separate methods ctree and ctree2, and if both options are attempted to tune with one method, the summary averages the option it doesn't support. The full log is attached, and notice these lines below for

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 training data. I now have a test data file (testdata), and

Hi, I am new to R and am using the ctree() function to do customer segmentation. I am using the following code to generate the tree: treedata$Response<-factor(treedata$Conversion) fit<-ctree(Response ~ .,controls=ctree_control(mincriterion=0.99,maxdepth=4),data=treedata) plot(fit) print(fit) The variable "Response" above equals 1 if the customer responded to an offering and

Dear all, I wrote a function test1 in test1.R. Right, I am writing another function test2 on test2.R and trying to use test1 function. How can I do? Is there any similar way like including test1.R in test2.R file? Thank You Very Much. Jia-Ming ============================ $BD%2HLC(B Jia-Ming Chang PhD Student Comparative Bioinformatics Group Bioinformatics and Genomics Programme Centre

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\\test4.pdf\"))"); v.voidEval("plot

------------------------------------------------------------------------------- New versions released for the distr family of package ------------------------------------------------------------------------------- We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distr"-family (version 2.1),

------------------------------------------------------------------------------- New versions released for the distr family of package ------------------------------------------------------------------------------- We would like to announce the availability on CRAN (with possibly a minor delay until on every mirror) of new versions of our packages in the "distr"-family (version 2.1),

¡Hola! ¿Alguien sabe si existe una función en R que devuelve el nombre del área de trabajo (workspace) en uso si éste ha sido guardado anteriormente? Con getwd() R me devuelve la carpeta de trabajo, pero si en ésta tengo varios áreas de trabajo guardados, p.e. a.RData y b.RData, ¿cómo podría saber en cuál estoy trabajando si por un despiste no me acordara cuál he abierto anteriormente (sin tener

Hi, Could anyone help me understand how the mincriterion threshold works in ctree and cforest of the party package? I've seen examples which state that to satisfy the p < 0.05 condition before splitting I should use mincriterion = 0.95 while the documentation suggests I should use mincriterion = qnorm(0.95) which would obviously feed the function a different value. Thanks in advance,

I want to write a function to plot a picture for each inputting file like the following example. plot_test <- function(f1,f2) { } However, -- Jia-Ming ============================ $BD%2HLC(B Jia-Ming Chang PhD Student Comparative Bioinformatics Group Bioinformatics and Genomics Programme Centre de Regulacio Genomica (CRG) Dr. Aiguader, 88 08003 Barcelona Spain E-Mail:

I've calculated as follows: matusita<-function(f1,f2,lw,up){ fmatu<-function(x) ( sqrt(f1(x)) - sqrt(f2(x)) )^2 sqrt (integrate( fmatu, lower=lw, upper=up, subdivisions=1000000)$value) } Josué Almansa Unitat de Recerca en Serveis Sanitaris Institut Municipal d'Investigació Mèdica, IMIM c/ Doctor Aiguader, 80 08003 Barcelona e-mail: jalmansa@imim.es

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 response with two groups. In the plot are only two variables shown (2 internal nodes) and 3 final nodes. Does it mean that only these two variables show a

Generation of a number of Christmas cards, most of them being animated. The name of each card includes the year in which it was created. Some examples are: - The christmas card that was writen in 2009 shows a ?caganer? ( https://en.wikipedia.org/wiki/Caganer): > library(christmas) > xmas2009caganer() - The 2019 design is about CRM (Christmas regression model) ;-) >

Generation of a number of Christmas cards, most of them being animated. The name of each card includes the year in which it was created. Some examples are: - The christmas card that was writen in 2009 shows a ?caganer? ( https://en.wikipedia.org/wiki/Caganer): > library(christmas) > xmas2009caganer() - The 2019 design is about CRM (Christmas regression model) ;-) >

Hello, When evaluating different learning methods for a categorization problem with the (really useful!) caret package, I'm getting confusing results from the Kappa computation. The data is about 20,000 rows and a few dozen columns, and the categories are quite asymmetrical, 4.1% in one category and 95.9% in the other. When I train a ctree model as: model <- train(dat.dts,

Dear fellow R users, Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons, Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test I am using the "oneway_test" function in the R package "coin" and I am obtaining results which I cannot believe are accurate. I do not wish to waste anyone's time and so if the following problem is rather trivial, I apologize, however I

Full_Name: Ivan the Terrible Version: 2.9.2 OS: Windows XP SP3 Submission from: (NULL) (89.110.13.151) When using the method blackboost_fit of the package mboost appear following error : Error in party:::get_variables(obj at responses) : trying to get slot "responses" from an object (class "boost_data") that is not an S4 object Simple test case that produce bug:

Dear all, I've discovered the possibility to do the Nemenyi-Damico-Wolfe-Dunn test in the library(coin); oneway_test() With the given example I am unfortunately not able to reproduce the test. What does trafo and contrMat mean? I have a dataframe with 176 elements in 7 classes. It may be a problem, that my model isn't balanced? In Class1 I happen to have 4 elements, while there are 90 in

mboost contains a blackboost method to build tree-based boosting models. I tried to write my own "cost-sensitive" ada family. But obviously my understanding to implement ngradient, loss, and offset functions is not right. I would greatly appreciate if anyone can help me out, or show me how to write a cost-sensitive family, thanks! Follows are some families I wrote ngradient <-

Dear Researchers, Sorry for this email but I am not a statistician, and for this I have this problem to understand. Thanks in Advance for help and suggestions. Gianni I have 21 classes (00, 01, 02, 04, ....,020) with different length. I did a kruskal wall test in R with the following code kruskal.test(m.class.l, m.class.length.lf) Kruskal-Wallis rank sum test data: m.class.l and