Pemodelan Pilihan untuk Pemasaran di R
Elea McDonnell Feit
Assistant Professor of Marketing, Drexel University

Type
susu, dark, susu dengan kacang, dark dengan kacang, white
Brand
Dove, Ghirardelli, Godiva, Hershey's, Lindt
Price
0.5, 0.6, ... kenaikan 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
}
Pemodelan Pilihan untuk Pemasaran di R