similar to: Help with HB analysis in R for a conjoint study Data

Dear R Group Can any body point me to a link from where I can get zip archive of the package HH for R 2.12.0? Thanks & Regards Vijayan Padmanabhan "What is expressed without proof can be denied without proof" - Euclide. Please visit us at www.itcportal.com ****************************************************************************** This Communication is for the exclusive use

Dear R Group I have a character vector from which I want to select a few elements and create a new character vector. I need a GUI to do this in R Script. Can someone help? a<-c("A","B","C","D","E") ## I want to have a GUI in R that will display elements in "object a" as a drop down list.. from there I want to be able to select a

Dear R Users I am looking at carrying out Multivariate Supervised Discretization on a set of continuous attributes to determine cut off values on each attribute which would allow best explanation of a binary outcome variable. I understand that there is an algorithm for doing this (The HyperCluster Finder Algorithm from the paper -Muhlenbach F., & Rakotomalala R. (2002). Multivariate

Dear RGroup I have a data of the type shown below: I am trying to use lme function followed by post hoc test as given in the code below. Am I right in my model definition, given the problem data structure. in the example, i have used column names of my data frame so that it is self explanatory. library(reshape) library(nlme) library(multcomp)

Dear R Group I have a matrix object in R, where i want to retain only those columns which have each row from a different group.. see the example below.. team1<-c("a1","a2","b1","b2","b3","c1","c2") teams<-combn(team1, 3) I want a function which will delete all columns in the teams matrix that have more than 1 row

Dear R Group I had an observation that in some cases, when I use the randomForest model to create partialPlot in R using the package "randomForest" the y-axis displays values that are more than -1! It is a classification problem that i was trying to address. Any insights as to how the y axis can display value more than -1 for some variables? Am i missing something! Thanks Regards

Dear R Group in package Deducer, how should i use the add.cross.strata.test() function to pass the chi.squared.test function as htest argument? ##########Example########### library(Deducer) dat<-data.frame(a=rnorm(100)>.5,b=rnorm(100)>0,c=rnorm(100)>(-.5)) tables<-contingency.tables( row.vars=a, col.vars=b, stratum.var=c,data=dat)

Hi R Forum I am a newbie to R and I have been amazed by what I can get my team to accomplish just by implementing Scripting routines of R in all my team's areas of interest.. Recently i have been trying to adopt R scripting routine for some analysis with longitudanal data.. I am presenting my R script below that I have tried to make to automate data analysis for longitudanal data by employing

Dear Group I have to populate a column in a R dataframe containing say 99 rows, where for every 3 row one row (randomly determined) of the column should take the value 1 and the other 2 row of that column should take the value 0. I used the command dataframe$new<-rep(sample(c(0,1,0),3,replace=FALSE),99) This command repeats the same patter of response across the entire column.. I would

We are in the process of analyzing data from a discrete-choice conjoint survey and are looking for a consultant who can help us assess willingness to pay (WTP). We are currently able to assess overall WTP using the coefficients from our conjoint analysis but would like assistance in determining if significant differences in WTP exist across a number of subgroups via a segmented analysis or some

Dear RGroup I have a requirement for which I am seeking help. I am looking at automating the last column calculation through R when having the data of the other columns as a dataframe, In excel I can do using the formula function as given below, however, hereagain for the number of observations that come under control, I need to write the formula seperately for each cell and then I can block

Hello everyone, I am new to this list and the R-Project, so I hope my question is not trivial or has been answered before. I searched the FAQs and the mailing list archives and I could not find anything about Conjoint Analysis. I am especially interested in Choice-based Conjoint, resp. discrete choice models. Is there a function / module that handles this issue? Or can the multinomial logit

Hello all, I am trying to apply a conjoint analysis in order to determine the best profile that captures the most preferred combination of levels of given categorical factors. For this a set of factors is given and initially a fractional factorial design has to be produced as a subset of all possible factor levels combinations, sufficient to estimate the main effects utilities. Then the

L.S. We would like to generate fractional design for a conjoint analysis. For example we would like to reduce 2x2x2x2x3 --> 12-16 profiles. We tried the R-package "conjoint" and we found an article which describes how to make fractional design for these kinds of studies with Algdesign: http://tolstoy.newcastle.edu.au/R/e10/help/att-8876/DCE_with_R.pdf However, the generated

Pls advise how I can use R in conjoint analysis?? regds Faisal Afzal Siddiqui Karachi, Pakistan ____________________________________________________________________________________ Looking for last minute shopping deals? ----- TO GET MORE DETAILS CLICK HERE -- View this message in context: http://r.789695.n4.nabble.com/Conjoint-Analysis-in-R-tp4651650.html Sent from the R help

This is to announce a new package MLCM on CRAN. The package provides functions for estimating perceptual scales by maximum likelihood from data collected in a conjoint measurement experiment. Data for conjoint measurement are typically collected using a psychophysical procedure. The stimuli vary along 2 or more dimensions. The observer views pairs of stimuli and judges which stimulus of each pair

This is to announce a new package MLCM on CRAN. The package provides functions for estimating perceptual scales by maximum likelihood from data collected in a conjoint measurement experiment. Data for conjoint measurement are typically collected using a psychophysical procedure. The stimuli vary along 2 or more dimensions. The observer views pairs of stimuli and judges which stimulus of each pair

Hello, I would like to know if there is any function in R which allows to make designs of experiments for Choice-Based Conjoint studies ? I have already checked the topic on " design of experiments with R " and looked at the different libraries. I tried to make my design with the "optFedorov" function but I haven't found how it can allow to have balanced design (with the

Pls advise how I can use R in conjoint analysis?? regds Faisal Afzal Siddiqui Karachi, Pakistan ____________________________________________________________________________________ Looking for last minute shopping deals?

Afternoon everyone, I''ve spent the last week or so looking at all the experimental design packages I can find in R. AlgDesign, design.conf and BHH2 being the best one I could find. Unfortunately none of these do a particularly good job for complex designs, in particular for conjoint or discrete choice. (or perhaps they do, and I can''t make them work correctly)