pork: Synthetic respondent data set: consumers' valuation of pork

In support.CEs: Basic Functions for Supporting an Implementation of Choice Experiments

Synthetic respondent data set: consumers' valuation of pork

Description

Data set artificially created for an example based on a labeled DCE design. This example illustrates consumers' valuation of pork.

Usage

data(pork)

Format

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.

Author(s)

Hideo Aizaki

See Also

make.dataset, make.design.matrix, Lma.design, clogit

Examples

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

support.CEs documentation built on Nov. 3, 2023, 9:07 a.m.