Data Summary
## Models1 z1 alpha1 j1 Number1
## MNL-CE1l :15 0 :24 0.001:40 0 :30 Min. : 1.985
## MNL-CE1nl:15 40:24 0.01 :40 1 :30 1st Qu.: 62.203
## MNL-CE2l :45 50:24 0.1 :40 10:30 Median : 98.700
## MNL-CE2nl:45 60:24 20:30 Mean :184.865
## 80:24 3rd Qu.:204.000
## Max. :907.200
## Probability1
## Min. :2.227e-05
## 1st Qu.:1.263e-04
## Median :2.035e-04
## Mean :3.936e-04
## 3rd Qu.:2.721e-04
## Max. :9.419e-03
Experiment for z-values vs. Number of items to recommend

Experiment for z-values vs. No-Choice probability

Experiment comparing the same model for different z and alpha values
par(mfrow=c(3,2))
dfx1<-subset(dfnew, Models1=="MNL-CE1l")
boxplot(Number1~z1, data=dfx1, main="Variability of z for MNL-CE1l",
xlab="All z values",ylab="Number to recommend")
dfx2<-subset(dfnew, Models1=="MNL-CE1nl")
boxplot(Number1~z1, data=dfx2, main="Variability of z for MNL-CE1nl",
xlab="All z values",ylab="Number to recommend")
dfx3<-subset(dfnew, Models1=="MNL-CE2l")
boxplot(Number1~z1, data=dfx3, main="Variability of z for MNL-CE2l",
xlab="All z values",ylab="Number to recommend")
dfx4<-subset(dfnew, Models1=="MNL-CE2nl")
boxplot(Number1~z1, data=dfx4, main="Variability of z for MNL-CE2nl",
xlab="All z values",ylab="Number to recommend")
##Alpha values
par(mfrow=c(3,2))

boxplot(Number1~alpha1, data=dfx1, main="Variability of alpha for MNL-CE1l",
xlab="All alpha values",ylab="Number to recommend")
boxplot(Number1~alpha1, data=dfx1, main="Variability of alpha for MNL-CE1nl",
xlab="All alpha values",ylab="Number to recommend")
boxplot(Number1~alpha1, data=dfx3, main="Variability of alpha for MNL-CE2l",
xlab="All alpha values",ylab="Number to recommend")
boxplot(Number1~alpha1, data=dfx4, main="Variability of alpha for MNL-CE2nl",
xlab="All alpha values",ylab="Number to recommend")
