Data set artificially created for an example based on a labeled DCE design. This example illustrates consumers' valuation of pork.
data(pork)
Data frames with 200 respondents on the following 6 variables.
ID
Identification number of respondents.
BLOCK
Serial number of blocks to which each respondent had been assigned.
q1
Response to choice experiment question 1.
q2
Response to choice experiment question 2.
q3
Response to choice experiment question 3.
q4
Response to choice experiment question 4.
Hideo Aizaki
make.dataset
, make.design.matrix
, Lma.design
, clogit
library(survival)
if(getRversion() >= "3.6.0") RNGkind(sample.kind = "Rounding")
d.pork <- Lma.design(
attribute.names = list(
Price = c("100", "130", "160", "190")),
nalternatives = 3,
nblocks = 4,
row.renames = FALSE,
seed = 987)
data(pork)
dm.pork <- make.design.matrix(
choice.experiment.design = d.pork,
optout = TRUE,
continuous.attributes = c("Price"),
unlabeled = FALSE)
ds.pork <- make.dataset(
respondent.dataset = pork,
choice.indicators =
c("q1", "q2", "q3", "q4"),
design.matrix = dm.pork)
fm.pork <- RES ~ ASC1 + Price1 +
ASC2 + Price2 +
ASC3 + Price3 +
strata(STR)
out.pork <- clogit(fm.pork, data = ds.pork)
out.pork
Run the code above in your browser using DataLab