similar to: Extract a predictors form constparty object (CHAID output) in R

Hi..I am trying to run CHAID in R..I have installed the sofyware Party and trying to use the function ctree() to carry out the analysis. but I am getting the following message Error in terms.default(formula, data = data) : no terms component . I am having some Likert scale variable where I have variables like "Overall satisfaction"(Dependent Variable),"Product quality", Brand

Can I say that RPART is a modified algo of CART and PARTY a modified of CHAID? Thanks. ---- Chua Siang Li Consultant - Operations Research Acceval Pte Ltd Tel: 6297 8740 Email: siang.li.chua at acceval-intl.com Website: www.acceval-intl.com This message and any attachments (the "message"...{{dropped:12}}

Quick disclaimer: I'm new to the list and I'm not sure if I'm sending this to the correct forum. If there is a better place for questions like these, please let me know! Dear R List, I'm interested in modifying a regression tree algorithm to use the difference between a control and a dosed sample as its dependent variable. I was wondering if anyone knew where I could find

Dear R-helpers, I just search if is there something for AID and CHAID in R: one message in this list (last year) without success and no possibility. News about? If "no" let's me know because some friends are looking for thesis and this could be a usefull job. bye -- Daniele Medri

Could you please let me know how to run chaid in R.     Thanks, Saumyha [[alternative HTML version deleted]]

I''m using the date_select form helper for a date_of_birth field on an ActiveRecord object. When I try to save a date earlier than 1 Jan 1970, ActionController punts with ActiveRecord::MultiparameterAssignmentErrors. The message it gives is "1 error(s) on assignment of multiparameter attributes". I was able to catch the exception and look at it, and it is certainly complaining

Michael thank you very much, what about the options I have tried all without success. Try again to send a message to the list by changing the subject line. Merry Christmas Juan -- ========================================================= Juan Antonio Gil Pascual Prof. Titular de M?todos de Investigaci?n en Educaci?n correo: jgil en edu.uned.es web: www.uned.es/personal/jgil U.N.E.D. Fac. de

Dear Colleagues, I've been looking for a function that can perform a tree analysis, similar to CHAID or QUEST. The key point is that in this case the variables are not binary but nominal (10 different values), so "tree" (from the tree package) won't work. Does anybody know help? Sincerely, ___________________ Markus Preisetanz Consultant Client Vela GmbH

Quer?a saber si existe alguna funci?n de R para realizar el algoritmo CHAID de ?rbol de clasificaci?n, existen de J48 por ejemplo pero no encuentro nada de este algor?tmo. Muchas gracias y un cordial saludo, Juan -- ========================================================= Juan Antonio Gil Pascual Prof. Titular de M?todos de Investigaci?n en Educaci?n correo: jgil at edu.uned.es web:

Hi., I would like to conduct a CHAID tree analysis - Chi-square Automatic Interaction Detector. >From what I can make out from MASS, tree, rpart, and a quick search it isn't available as a package. Is that correct or have I missed it? Has anyone an available implementation of it? Thanks Stephen Nana Mail <http://mail.nana.co.il> - Get Your Free Personal Outlook 2003 Now

Hi Manuel, find our SoC proposal below. Best wishes, Torsten & Achim _______________________________________________________________________ Party On! New Recursive Partytioning Tools. Mentor: Torsten Hothorn & Achim Zeileis Short Description: The aim of the project is the implementation of recursive partitioning methods ("trees") which aren't available in R at the

On 04/07/2016 09:04 AM, Nux! wrote: > Well, by the looks of it, it bundles all the deps in one archive, so you no longer depend on system ones, but also you miss out on system updates. I use a commercial professional multitrack audio mixing package called Mixbus (derived from Ardour, but with specialized DSP for the summing and for plugins; the portion derived from Ardour is open source, the

Hi All, I need to access the node informations (viz. child nodes, split variable, split criterion etc.) for different trees packages like, CHAID, rpart, party etc. Is there an in-built function which I can use to get the requied info? Thanks a lot in advance!! Regards Ashish Kumar [[alternative HTML version deleted]]

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Dear all, I am new to R and statistics really in general. I am hoping that someone will be able to point me in the right direction and/or suggest a technique/package/reference that will help me with the following. I have: Some input variables (integers, real) Some output variables (integers, real) and I want to find out which between the two correlate best - i.e. the salient features. I

I'm interested in trying out the new OpenShot beta (2.06) on CentOS 7. Openshot requires Python3. so I look at available packages where I find a bunchof python3 packages as well as python34 packages. I'm assuming that python34 is version 3.4 of python, while python3 is some other 3.x version. Can anyone here explain to me what are the differences, any compatibility across these

Following problem: Say you have a bunch of parameters and want to produce results for all combinations of those: height<-c("high","low") width<-c("slim","wide") then what i used to do was something like this: l<-list() for(h in height){ l[[h]]<-list() for(w in width){ l[[h]][[w]] <- doSomething() } } Now those parameters aren't

Hello, I have a data-set containing 22 variables, after appropriate transformations etc I ran a kmeans cluster analysis for 4 clusters , I ran it 20 times to find a result with the lowest within sum of squares. My question is how best do I go about finding out what the characteristics are of each cluster? Is one cluster dominated by a particular set of variables or by a particular

Dear R-helpers, I had a conversation with a guy working in a "business intelligence" department at a major Spanish bank. They rely on recursive partitioning methods to rank customers according to certain criteria. They use both SAS EM and Salford Systems' CART. I have used package R part in the past, but I could not provide any kind of feature comparison or the like as I have no

Hello All: I am trying to replicate the results of an example found in Alan Agresti's "Categorical Data Analysis" on pages 267-269. The example is one of a 2 x 2 cross-classification table of ordinal counts: job satisfaction and income. I am able to get Agresti's results for the independence model (G^2 = 12.03 with df = 9) assuming as he does that the data is nominal, but