similar to: Conjoint Analysis in R??

I am using MS Excel (Windos Operating system), how I import/export data between MS_Excel and R. Regds Faisal Afzal SIddiqui +92-300-9297089 fasidfas at yahoo.com ____________________________________________________________________________________ Never miss a thing. Make Yahoo your home page.

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

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

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, 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

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

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)

I have successfully installed and configured the asterisk, the incoming and the outgoing calls are working fine, its a tremendous solution :) Now i want to enable trunking between two asterisk boxes, in the iax.conf i have put: [karachi] ... ... ... trunk=yes ... ... ... everything seems to work fine but when i load asterisk it says: -------------- Feb 17 10:59:14 WARNING[18726]:

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 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

This reverts commit 1addc1264852 This commit seems to cause crashes in gk104_fifo_intr_runlist() by returning 0xbad0da00 when register 0x2a00 is read. Since this commit was intended for GM20B which is not completely supported yet, let's revert it for the time being. Reported-by: Eric Biggers <ebiggers3 at gmail.com> Signed-off-by: Alexandre Courbot <acourbot at nvidia.com> ---

2015-08-12 16:37 GMT+09:00 Afzal Mohammed <afzal.mohd.ma at gmail.com>: > Hi, > > On Wed, Aug 12, 2015 at 04:12:15PM +0900, Alexandre Courbot wrote: > >> Could you let me know what your card is? It may be useful to know the >> range of affected cards when trying to fix this. > > grep of nouveau on dmesg as follows, if the following information is > not

Dear Sir, I have xlsx data set which I have imported to R studio. Now some of the variables are defined as numeric but I want define them as factor variable so that I run classification algorithm in R. Please to covert the variables. Thanks and Regards Abu Afzal PhD Eco JNU India

On Wed, Aug 12, 2015 at 3:00 PM, Afzal Mohammed <afzal.mohd.ma at gmail.com> wrote: > Hi, > > On Wed, Aug 12, 2015 at 01:17:38PM +0900, Alexandre Courbot wrote: >> This reverts commit 1addc1264852 >> >> This commit seems to cause crashes in gk104_fifo_intr_runlist() by >> returning 0xbad0da00 when register 0x2a00 is read. Since this commit was >>

Hello, Though Bert's and David's answers are what you should do, note that some R functions that need factors will coerce their input variables when necessary. Have you tried to run the code you haven't posted without coercing to factor? It might run... Hope this helps, Rui Barradas On 4/9/2018 6:11 PM, David L Carlson wrote: > Try the help files: > > ?factor >

I run this command for converting the numerical variable into factor. However, I get the following error message. > cols<- c(?GrMM", "RELG", "CASTE1", "SECTOR", "SECTOR4","AGE", "MARITAL" "JOBSTATUS", "ENG", "EDU", "PARENT_EDU", "MASSMEDIA_F", "MASSMEDIA_M",

You are missing a comma between "MARITAL" and "JOBSTATUS". On Tue, Apr 10, 2018 at 10:27 AM, Saif Tauheed <saif.tauheed at gmail.com> wrote: > I run this command for converting the numerical variable into factor. > However, I get the following error message. > > > cols<- c(?GrMM", "RELG", "CASTE1", "SECTOR",

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