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##### Plot results
hist(correct_rank3,150,xlim=c(0,vcount(lcc)),col=rgb(0,0,1,1/8),
xlab='Risk Ranking of Victims',main='')
hist(correct_rank1,150,xlim=c(0,vcount(lcc)),col=rgb(1,0,1,1/8),add=T)
hist(correct_rank2,150,xlim=c(0,vcount(lcc)),col=rgb(0,0,1,1/8),add=T)
legend("topright", c("Demographics Model", "Cascade Model"),
fill=c(rgb(1,0,1,1/8), rgb(0,0,1,1/8)))
counts = matrix(c(colSums(correct_rank<(vcount(lcc)/1000))*100/nvics,
colSums(correct_rank<(vcount(lcc)/200))*100/nvics,
colSums(correct_rank<(vcount(lcc)/100))*100/nvics),
nrow=3, byrow=T)
plot(lambdas,counts[1,],log='x',type='l')
correct_rank1 = correct_rank[,length(lambdas)] # demographics model
correct_rank2 = correct_rank[,1] # cascade model
correct_rank3 = correct_rank[,which.min(colMeans(correct_rank))] # best combined model
counts = matrix(c(sum(correct_rank1<(vcount(lcc)*0.001)),
sum(correct_rank1<(vcount(lcc)*0.005)),
sum(correct_rank1<(vcount(lcc)*0.01)),
sum(correct_rank2<(vcount(lcc)*0.001)),
sum(correct_rank2<(vcount(lcc)*0.005)),
sum(correct_rank2<(vcount(lcc)*0.01)),
sum(correct_rank3<(vcount(lcc)*0.001)),
sum(correct_rank3<(vcount(lcc)*0.005)),
sum(correct_rank3<(vcount(lcc)*0.01))),
nrow=3, byrow=T)
counts = counts*100/nvics
barplot(counts,
xlab="Size of High-Risk Population",
ylab="Percent of Victims Predicted",
names.arg=c('0.1%','0.5%','1%'),ylim=c(0,max(counts)*1.1),
col=c(rgb(0,0,1,1/2),rgb(1,0,0,1/2),rgb(0,1,0,1/2)),
beside=TRUE)
legend("topleft", inset=0.05,
c("Demographics Model", "Cascade Model", "Combined Model"),
fill=c(rgb(0,0,1,1/2),rgb(1,0,0,1/2),rgb(0,1,0,1/2)))
box(which='plot')
par(new=T)
counts = counts/(100/nvics)
barplot(counts,
ylim=c(0,max(counts)*1.1),
col=c(rgb(0,0,1,0),rgb(1,0,0,0),rgb(0,1,0,0)),
beside=TRUE)
axis(side = 4)
mtext(side = 4, line = 3, "Number of Victims Predicted")
popsizes = c(0.1, 0.5, 1)
plot(popsizes,counts[1,],type='l',ylim=c(0,max(counts)))
lines(popsizes,counts[2,])
lines(popsizes,counts[3,])
lines(c(0,1),c(0,1))
#### Precision-Recall Curve
plot(ecdf(correct_rank1),col='red',xlim=c(0,vcount(lcc)),lwd=2)
plot(ecdf(correct_rank2),col='darkblue',lwd=2,add=T)
plot(ecdf(correct_rank3),col='darkgreen',lwd=2,add=T)
legend("bottomright", inset=0.05,
c("Demographics Model", "Cascade Model", "Combined Model"),
fill=c('red','darkblue','darkgreen'))
lines(c(0,vcount(lcc)),c(0,1))
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