fruit: Synthetic respondent data set: consumers' preferences for fruits

Description

Data set artificially created for an example based on a BIBD. This example illustrates consumers' preferences for seven fruits: apple, orange, grapes, banana, peach, melon, and pear.

Usage

data(fruit)

Arguments

Format

A data frame with 100 respondents on the following 15 variables.

ID: Identification number of respondents.
B1: Item selected as the best in question 1.
W1: Item selected as the worst in question 1.
B2: Item selected as the best in question 2.
W2: Item selected as the worst in question 2.
B3: Item selected as the best in question 3.
W3: Item selected as the worst in question 3.
B4: Item selected as the best in question 4.
W4: Item selected as the worst in question 4.
B5: Item selected as the best in question 5.
W5: Item selected as the worst in question 5.
B6: Item selected as the best in question 6.
W6: Item selected as the worst in question 6.
B7: Item selected as the best in question 7.
W7: Item selected as the worst in question 7.

Author

Hideo Aizaki

Examples

Run this code

# The following BIBD is generated using find.BIB()
# in the crossdes package:
#  set.seed(123)
#  find.BIB(trt = 7, k = 4, b = 7)
sets.fruit <- cbind(
  c(1,2,2,1,1,3,1),
  c(4,3,4,2,3,5,2),
  c(6,4,5,5,4,6,3),
  c(7,6,7,6,5,7,7)) 
items.fruit <- c(
  "Apple",
  "Orange",
  "Grapes",
  "Banana",
  "Peach",
  "Melon",
  "Pear")
bws.questionnaire(
  choice.sets = sets.fruit,
  design.type = 2,
  item.names = items.fruit)
data(fruit)
data.fruit <- bws.dataset(
  respondent.dataset = fruit,
  response.type = 1,
  choice.sets = sets.fruit,
  design.type = 2,
  item.names = items.fruit)
count.fruit <- bws.count(data = data.fruit)
count.fruit