Description Usage Arguments Value References Examples
Computes market share for actual profiles as well as for all possible profiles in order to indentify the bundle that maximazes market share given actual profiles We use first choice rule If we combine all three functions into one function, we can use rule=1 for first choice, rule=2 for utility share, and the rest for logit. With a if sentence we hace combine all 3 functions into one.
1 | optim.ms.logit(ratings, bundles, market.profiles, design, rank = 0, hpb = 0)
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ratings |
a data frame with all clients' ratings |
bundles |
a data frame with all product profiles rated by clients |
market.profiles |
a data frame with competitiors' profiles |
design |
a list with the experiment description (attributes and levels) |
rank |
if rank==1, then transform a ranking into utilities |
hpb |
if hpb==1, the hide progress bar, for rmarkdown documents |
optim.list a list with with the optim profile as well as optim market share
SAS Institute Inc., SAS*TeclmicalReport R-109, Conjoint Analysis Examples, Gary, NC: SAS Institute Inc., 1993.85 pp.
1 2 3 4 5 6 7 8 9 10 11 | data(MDSConjointData)
names(MDSConjointData)
osc<-MDSConjointData$osc
class(osc)
names(osc)
rat<-osc$ratings
bun<-osc$bundles
mp<-osc$market.profiles
design<-osc$design
osc.ms.op.logit<-optim.ms.logit(rat, bun, mp, design, hpb=1)
osc.ms.op.logit
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