Your professor should immediately recognize that the quoted code is standard
regression input/output and that the Urkund results in this case are without
merit.
> On Sep 22, 2015, at 7:27 AM, BARRETT, Oliver wrote:
>
>
> Dear 'R' community support,
>
>
> I am a
I’m seeking to design a MaxDiff experiment that will have a number of blocks of
this type:
Which of these items is the
most important?
Which of these items is the
least important?
Item 1
Item 2
Item 3
Item 4
I’m seeking to use the choiceDes package
I’m seeking to design a MaxDiff experiment that will have a number of blocks of
this type:
Which of these items is the
most important?
Which of these items is the
least important?
Item 1
Item 2
Item 3
Item 4
I’m seeking to use the choiceDes package
I’m very glad to see the Conjoint Package for R. The documentation for it does
not appear to specify methods for data acquisition. Are the cards to be
individually scored by each respondent (most clients would rather see a
choice-based methodology)?
SurveyGizmo, an excellent online survey host
I’m very glad to see the Conjoint Package for R. The documentation for it does
not appear to specify methods for data acquisition. Are the cards to be
individually scored by each respondent (most clients would rather see a
choice-based methodology)?
SurveyGizmo, an excellent online survey host
Bhupendrashinh, thanks again for telling me about RWeka. That made a big
difference in a job I was working on this week.
Have a great weekend.
-Vik
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the
provides the ctree() method and has a unified plotting interface for ctree,
rpart, and J48.
hth,
Z
On Thu, 20 Sep 2012, Vik Rubenfeld wrote:
Bhupendrashinh, thanks very much! I ran J48 on a respondent-level data set
and got a 61.75% correct classification rate!
Correctly Classified
I'm working with some data from which a client would like to make a decision
tree predicting brand preference based on inputs such as price, speed, etc.
After running the decision tree analysis using rpart, it appears that this data
is not capable of predicting brand preference.
Here's the
Thanks! Here's the dput output:
dput(test.df)
structure(list(BRND = structure(c(1L, 12L, 16L, 17L, 18L, 19L,
20L, 21L, 22L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 13L,
14L, 15L), .Label = c(Brand 1, Brand 10, Brand 11, Brand 12,
Brand 13, Brand 14, Brand 15, Brand 16, Brand 17, Brand 18,
will go for Weka and
specifically C4.5 algorithm. You also have the RWeka package for it.
Best Regards,
Bhupendrasinh Thakre
Sent from my iPhone
On Sep 20, 2012, at 9:47 PM, Vik Rubenfeld v...@mindspring.com wrote:
I'm working with some data from which a client would like to make
.
Best Regards,
Bhupendrasinh Thakre
Sent from my iPhone
On Sep 21, 2012, at 12:16 AM, Vik Rubenfeld v...@mindspring.com wrote:
Bhupendrashinh, thanks very much! I ran J48 on a respondent-level data set
and got a 61.75% correct classification rate!
Correctly Classified Instances
In a Conjoint study, it's difficult for respondents to evaluate more than 6
product attributes at a time. Some studies require more attributes.
Often this is solved via the use of Adaptive Conjoint Analysis (ACA), in which
the questionnaire is modified for each individual respondent as the
I would like to find out how to apply commands found in the bayesm package, to
analyze data gathered via a choice-based conjoint study. Is there a web
resource where I can seek an R-Project consultant experienced in this, who I
could hire to walk me through the appropriate bayesm commands to
I'm trying to run the Conjoint package, and I receive the error:
Error: could not find function caFactorialDesign
I'm running R version 2.15.1 on Mac OS X. I have installed the Conjoint
package with the Install Dependencies checkbox checked. I have clicked the
Update All button in the R
the package with:
library(conjoint) # not Conjoint
before you try to use any of its functions?
Sarah
On Fri, Aug 3, 2012 at 1:23 PM, Vik Rubenfeld v...@mindspring.com wrote:
I'm trying to run the Conjoint package, and I receive the error:
Error: could not find function
] tools_2.15.1
Per your recommendation, I have read the Posting Guide, and have sent an email
to the Maintainers of this packages as well.
Best,
-Vik
On Aug 3, 2012, at 11:15 AM, Sarah Goslee wrote:
Hi,
On Fri, Aug 3, 2012 at 1:57 PM, Vik Rubenfeld v...@mindspring.com wrote:
Thanks very much
Got it. Thanks so much for your help, Michael and Sarah!
Best,
-Vik
On Aug 3, 2012, at 11:50 AM, R. Michael Weylandt wrote:
On Fri, Aug 3, 2012 at 1:34 PM, Sarah Goslee sarah.gos...@gmail.com wrote:
On Fri, Aug 3, 2012 at 2:23 PM, R. Michael Weylandt
michael.weyla...@gmail.com wrote:
With
I'm experienced in statistics, but I am a first-time R user. I would like to
use R for correspondence analysis. I have installed R (Mac OSX). I have used
the package installer to install the CA package. I have run the following line
with no errors to read in the data for a table:
Thanks very much.
-Vik
On Sep 26, 2010, at 9:45 AM, Chris Mcowen wrote:
Have you loaded the library after installing it?
Either use library(CA)
Or
Through the package manager tab
Hth
Sent from my iPhone
On 26 Sep 2010, at 17:41, Vik Rubenfeld v...@mindspring.com wrote
I am successfully performing a correspondence analysis using the commands:
NonLuxury - read.table(/Users/myUserName/Desktop/nonLuxury.data.txt)
ca(NonLuxury)
I would like to store the results to a data frame so that I can write them to
disk using write.table. I have tried
[Sorry- somehow the first time I posted this it got attached to another thread
-Vik]
I am successfully performing a correspondence analysis using the commands:
NonLuxury - read.table(/Users/myUserName/Desktop/nonLuxury.data.txt)
ca(NonLuxury)
I would like to store the
]] ## extract the rows data.frame
auth.ca.rows - auth.ca.sum[[columns]] ## extract the columns data.frame
write.csv(auth.ca.rows) ## write results to a .csv file
write.csv(auth.ca.rows) ##
HTH,
Ista
On Sun, Sep 26, 2010 at 6:10 PM, Vik Rubenfeld v...@mindspring.com wrote:,
I am
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