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wrap with plus #2

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wrap with plus #2

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6 changes: 3 additions & 3 deletions 00_plots.R
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Original file line number Diff line number Diff line change
Expand Up @@ -40,23 +40,23 @@ plot_1_fr<-ggplot(data=df, aes(x=low_bin, y=(p), col=expert.date))+

# plot HZ:istitution
plot_2<-ggplot(data=df, aes(x=low_bin, y=(p), col=expert.date))+
geom_line()+facet_wrap(~HZ:institution)+theme_bw()+
geom_line()+facet_wrap(~HZ+institution)+theme_bw()+
geom_line(data=df, aes(x=low_bin, y= p.all.experts), col="black", size=1)+
scale_y_continuous(limits = c(0,1), breaks=seq(0,1, by=0.1), name="p")+
scale_x_continuous(name=paste("Predicted new EVD cases reported (confirmed+probable) during",time_period))+
labs(colour= "Expert and date")

# plot HZ:last in field
plot_3<-ggplot(data=df, aes(x=low_bin, y=(p), col=expert.date))+
geom_line()+facet_wrap(~HZ:last.in.field)+theme_bw()+
geom_line()+facet_wrap(~HZ+last.in.field)+theme_bw()+
geom_line(data=df, aes(x=low_bin, y= p.all.experts), col="black", size=1)+
scale_y_continuous(limits = c(0,1), breaks=seq(0,1, by=0.1), name="p")+
scale_x_continuous(name=paste("Predicted new EVD cases reported (confirmed+probable) during",time_period))+
labs(colour= "Expert and date")

# plot HZ:experience.ide
plot_4<-ggplot(data=df, aes(x=low_bin, y=(p), col=expert.date))+
geom_line()+facet_wrap(~HZ:experience.ide, ncol = 4)+theme_bw()+
geom_line()+facet_wrap(~HZ+experience.ide, ncol = 4)+theme_bw()+
geom_line(data=df, aes(x=low_bin, y= p.all.experts), col="black", size=1)+
scale_y_continuous(limits = c(0,1), breaks=seq(0,1, by=0.1), name="p")+
scale_x_continuous(name=paste("Predicted new EVD cases reported (confirmed+probable) during",time_period))+
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