R ile Pazarlamada Tercih Modellemesi
Elea McDonnell Feit
Assistant Professor of Marketing, Drexel University

Tür
sütlü, bitter, fındıklı sütlü, fındıklı bitter, beyaz
Marka
Dove, Ghirardelli, Godiva, Hershey's, Lindt
Fiyat
0.5, 0.6, ... 0.1 adımlarla ..., 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
}
R ile Pazarlamada Tercih Modellemesi