compute.importance.for.one: computes de importance of attributes for one individual
In jlopezsi/MDSConjoint: An implementation of metric and nonmetric conjoint models for marketing decisions
Description
Usage
Arguments
Value
Examples
Description
This function computes attributes' importance for one individual. It takes the results of a conjoint analysis,
the list conjoint.results, and then I compute the the importance of every attribute. It uses
sum zero constraints to estimate part worths. I adapt code from Marketing Data Science book, chapter 1.
Usage
1
compute.importance.for.one(conjoint.results)
Arguments
conjoint.results
a list with the results of a conjoint analysis
Value
conjoint.results returns the conjoint.results list modified
Examples
1
2
3
4
5
# not run This is a function called by importance.of.attributes()
#data(MDSConjointData)
#names(MDSConjointData$osc)
#osc<-MDSConjointData$osc
#osc.imp<-importance.of.attributes(osc$ratings, osc$bundles, osc$design)
jlopezsi/MDSConjoint documentation built on May 19, 2019, 12:48 p.m.
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Description Usage Arguments Value Examples
Description
This function computes attributes' importance for one individual. It takes the results of a conjoint analysis, the list conjoint.results, and then I compute the the importance of every attribute. It uses sum zero constraints to estimate part worths. I adapt code from Marketing Data Science book, chapter 1.
Usage
1 | compute.importance.for.one(conjoint.results)
|
Arguments
conjoint.results |
a list with the results of a conjoint analysis |
Value
conjoint.results returns the conjoint.results list modified
Examples
1 2 3 4 5 | # not run This is a function called by importance.of.attributes()
#data(MDSConjointData)
#names(MDSConjointData$osc)
#osc<-MDSConjointData$osc
#osc.imp<-importance.of.attributes(osc$ratings, osc$bundles, osc$design)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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