Choice Modeling for Marketing in R
Elea McDonnell Feit
Assistant Professor of Marketing, Drexel University

Tipo
latte, fondente, latte con nocciole, fondente con nocciole, bianco
Marca
Dove, Ghirardelli, Godiva, Hershey's, Lindt
Prezzo
0.5, 0.6, ... passi di 0.1 ..., 3.9, 4.0
choc_survey[choc_survey$Subject == 1 & choc_survey$Trial == 1, ]
Subject Trial Alt Type Brand Price
1 1 1 1 NA NA NA
2 1 1 2 NA NA NA
3 1 1 3 NA NA NA
# Setup your attributes and levels list attribs <- list(Type = c("Milk", "Dark", "White"), Brand = c("Cadbury", "Toblerone", "Kinder"), Price = 5:30 / 10)# Create all possible combinations of attributes all_comb <- expand.grid(attribs) nrow(all_comb) head(all_comb)
144Type Brand Price 1 Milk Cadbury 0.5 2 Dark Cadbury 0.5 3 White Cadbury 0.5 4 Milk Toblerone 0.5 5 Dark Toblerone 0.5 6 White Toblerone 0.5
for (i in 1:100) {
rand_rows <- sample(1:nrow(all_comb), size = 12 * 3)
rand_alts <- all_comb[rand_rows, ]
choc_survey[choc_survey$Subject == i, 4:6] <- rand_alts
}
Choice Modeling for Marketing in R