similar to: AID / Tree Analysis in R

Dear Colleagues, does anybody know how to aggregate a data.frame using different functions for different columns? Sincerely ___________________ Markus Preisetanz Consultant Client Vela GmbH Albert-Roßhaupter-Str. 32 81369 München fon: +49 (0) 89 742 17-113 fax: +49 (0) 89 742 17-150 mailto:markus.preisetanz@clientvela.com

Dear Colleagues: I have 3 numeric variables (say x, y, z) in a data.frame and want to draw a 2D-scatterplot with the 3rd dimension as color, if possible without having to convert the whole thing to an appropiate matrix for image() manually. Can e.g. scatterplot3d do something like this? There's a function xyz.convert, but I couldn't find the way to use it properly. Sincerly,

Dear Colleagues, does anybody know how to add dimnames to an image. Right now I'm using image(as.matrix(df3), col=brewer.pal(9,"Blues")) where df3 is a data.frame. dimnames(as.matrix(df3)) delivers [[1]] [1] "RFM_A1" "RFM_A2" "RFM_A4" "RFM_A5" "RFM_A7" "RFM_B3" "RFM_B6" "RFM_B7"

Dear R Specialists, when trying to cluster a data.frame with about 80.000 rows and 25 columns I get the above error message. I tried hclust (using dist), agnes (entering the data.frame directly) and pam (entering the data.frame directly). What I actually do not want to do is generate a random sample from the data. The machine I run R on is a Windows 2000 Server (Pentium 4) with 2 GB of

Dear Colleagues, I would like to only inspect rules that contain a certain label substring on the rhs. In this special case the item labels are built like this: <itemtype>_<itemvalue> e.g. "Artikelgruppe_E0815" what I want to do is only show rules where "Artikelgruppe" is contained in the rhs - has anybody an idea how this could work? Sincerely

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Dear Collegues, when using sqlQuery from the package RODBC I always get a data frame with automatically generated rownames, even if: * the first column of the query is called rownames using "Select ... AS rownames, ... From ..." * and: the values from this column are unique * and: the values are inevitably forced to character data with e.g. " 'rn_' + CAST(xy AS

Dear Collegues, does anybody know how I can place a legend at a sensible position in a star diagram automatically? The legend should tell the name of the variable (from colnames) for every color used. Sincerely, Markus ___________________ Markus Preisetanz Consultant Client Vela GmbH Albert-Roßhaupter-Str. 32 81369 München fon: +49 (0) 89 742 17-113 fax:

Hi group, My case has N physicians with each seeing M patients. One physician could have seen a group of patients, or, a patient could have been seen by multiple number of physicians. In order words, there are overlaps. Now, I have the following NxM matrix Patient#1 Patient#2 Patient#3 ....... Patient#m Physician#1 1 0 1 ....... 0 Physician#2

Dear Collegues, it seems like there is a problem with the image()-method in the package arules. Using an ordninary matrix works fine: image(matrix(rnorm(200), 10, 20), axes = FALSE, col=brewer.pal(9, "Blues") ) delivers an image with blue colors and no axes. Using an object of the class "associations" (arules package) does not work: image(items(ta.eclat), axes = FALSE,

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

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}}

I have a large dataset (questionnaire results) of mostly categorical variables. I have tested for dependency between the variables using chi-square test. There are an incomprehensible number of dependencies. I used the chaid() function in the CHAID package to detect interactions and separate out (what I hope to be) the underlying structure of these dependencies for each variable. What typically

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

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:

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

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

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

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