similar to: Design of experiments for Choice-Based Conjoint Analysis (CBC)

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

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)

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

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

Hello Prof. Harrell and dear R-help mailing list, I wish to perform a non-parametric repeated measures anova. If what I read online is true, this could be achieved using a mixed Ordinal Regression model (a.k.a: Proportional Odds Model). I found two packages that seems relevant, but couldn't find any vignette on the subject: http://cran.r-project.org/web/packages/repolr/

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

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

Hello all, I'd like to announce the availability of a mailing list for a newly-formed SIG (Special Interest Group) dedicated to using R for Discrete Choice Modelling. This list is intended for discussion of issues revolving around the design and analysis of Discrete Choice (aka Stated Choice, Stated Preference or Choice-Based Conjoint) experiments. While R has good infrastructure for

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

Dear Group I was referring to a conjoint analysis scenario using R from the paper referred below: Agricultural Information Research 17(2),2008,86-94 available online at www.jstage.jst.go.jp/ This paper describes the data modelling of a conjoint study design based on conditional logit procedure. I understand that Heirarchical Bayes is asymptotically equivalent to Conditionallogit. However it

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

in order to know which production the custumer most like,i design a question as follow : Q:there are six production listed below.according to your preference,the production you like most is_____,the production you secondly like is ____,and the third is_____. productionA productionB productionC productionD productionE productionF when the data is collected. i type in a

Hi - I'm having a problem trying to use the function GLMM() from lme4. Here is what happens: > library(lme4) Loading required package: Matrix Loading required package: lattice > f1 <- GLMM(success~yearF, data=quality, random=~1|bandnumb, family=binomial, method=PQL) Error: couldn't find function "GLMM" I remember having used lme4 before, without any problem.

Hi All, My paper "R for SAS and SPSS Users" received a bit more of a reaction than I expected. I posted the link (http://oit.utk.edu/scc/RforSAS&SPSSusers.pdf) about 12 days ago on R-help and the equivalent SAS and SPSS lists. Since then people have downloaded it 5,503 times and I've gotten lots of questions along the lines of, "Surely R can't do for free what [fill in

Dear R users, I would like to perform Latent Class Logit Models for the analysis of choice experiments in environmental valuation. This kind of analysis is usually performed with NLogit Software (http://www.limdep.com). I attach the results I usually obtain using NLogit and NLogit model specifications. For Random parameter models and Logit Models I usually perform my analysis with the package

I am looking into using the multinomial logistic regression option in the nnet library and have two questions about formatting the data. 1. Can data be analysed in the following format or does it need to be transformed into count data, such as the housing data in MASS? Id Crime paranoia hallucinate toc disorg crimhist age 1 2 1 0 1 0 1 25 2 2 0 1 1 1 1 37 3 1 1 0 1 1 0 42 4 3 0

Hi, I'm a very fresh newbie to R. My first main question is, what the limitations of R are, what methods can R NOT do, esp. compared to (a) SPSS and (b) SAS? The second question is, how do you handle the data entry, data management and data manipulation in R, to me it seems to be really complicated and confusing?! Are there a kind of "helping tools"? The third question: are

I am trying to obtain the Kruskal (1964) secondary least-squares monotonic transformation of a rank variable given 4 categorical variables in order to obtain optimal transformation for regression. The academic problem assigned is to compare R, SPSS (Conjoint Analysis), and SAS' proc transreg in speed and accuracy. Currently, SAS and SPSS are giving similar results, but R's are quite

Hello, For my master thesis I conducted a conjoint analysis. Using the mlogit-package of Yves Croissant I should be able to analyse my choice data. I read the whole program of mlogit, but I do not understand how my coefficients must be interpreted. Are they a result of P(Y=i) or are they P(Y=i)/P(Y=1) where 1 is my base category, or are they a result of ln(P(Y=i)/P(Y=1)). I can not find an answer