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prepost_draft.R
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<<<<<<< HEAD
#1. Rotavirus
#Dose response value
alpha<-2.53E-01
N50<-6.17E+00
beta<-N50/(2^(1/alpha)-1)
##1.1 Baseline scenario ----------------------------------------
Conc.h.b<- TE.all*Frac.HS*Conc.i.surface
Dose.b<- TE.face*Conc.h.b
Risk.b<- 1-(1+(Dose.b/beta))^(-alpha)
##1.2 Intervention scenario ----------------------------------------
Conc.h.i <- TE.all*Frac.HS*(Conc.i.surface/Reduc.intv)
Dose.i<- TE.face*Conc.h.i
Risk.i<- 1-(1+(Dose.i/beta))^(-alpha)
#plotting
library(ggplot2)
library(ggpubr)
Conc.h.df<-as.data.frame(t(Conc.h))
Dose.df<-as.data.frame(t(Dose))
Risk.df<-as.data.frame(t(Risk))
event<-rep(c(rep(1,iterations),rep(2,iterations)),3)
type<-c(rep("Hand",2*iterations),rep("Dose",2*iterations),rep("Risk",2*iterations))
value<-c(Conc.h.df$'1', Conc.h.df$'2',
Dose.df$'1', Dose.df$'2',
Risk.df$'1', Risk.df$'2')
data<-data.frame(event,type,value)
windows()
ggplot(data)+geom_violin(aes(x=event,y=value,fill=type, group=event),alpha=0.3,draw_quantiles = c(0.25,0.5,0.75))+
facet_wrap(~type,scales="free") +
scale_y_continuous(trans="log10")
=======
#1. Rotavirus
#Dose response value
alpha<-2.53E-01
N50<-6.17E+00
beta<-N50/(2^(1/alpha)-1)
##1.1 Baseline scenario ----------------------------------------
Conc.h.b<- TE.all*Frac.HS*Conc.i.surface
Dose.b<- TE.face*Conc.h.b
Risk.b<- 1-(1+(Dose.b/beta))^(-alpha)
##1.2 Intervention scenario ----------------------------------------
Conc.h.i <- TE.all*Frac.HS*(Conc.i.surface/Reduc.intv)
Dose.i<- TE.face*Conc.h.i
Risk.i<- 1-(1+(Dose.i/beta))^(-alpha)
#plotting
library(ggplot2)
library(ggpubr)
Conc.h.df<-as.data.frame(t(Conc.h))
Dose.df<-as.data.frame(t(Dose))
Risk.df<-as.data.frame(t(Risk))
event<-rep(c(rep(1,iterations),rep(2,iterations)),3)
type<-c(rep("Hand",2*iterations),rep("Dose",2*iterations),rep("Risk",2*iterations))
value<-c(Conc.h.df$'1', Conc.h.df$'2',
Dose.df$'1', Dose.df$'2',
Risk.df$'1', Risk.df$'2')
data<-data.frame(event,type,value)
windows()
ggplot(data)+geom_violin(aes(x=event,y=value,fill=type, group=event),alpha=0.3,draw_quantiles = c(0.25,0.5,0.75))+
facet_wrap(~type,scales="free") +
scale_y_continuous(trans="log10")
>>>>>>> dc57687e7c1de5c253bfcb8f1c05ff6e4932f9da