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513 lines
36 KiB
R
513 lines
36 KiB
R
pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9A" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#1a342b')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#1a342b')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11A" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#c0c23b')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#c0c23b')
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## Plot 1 - baseline scenarios vs theoretical power
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par(mfrow=c(1,2))
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# theoretical
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plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),rep(unique(plot.dat[plot.dat$scenario.type=="A",]$theoretical.power),3),
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xlab='N',ylab='Theoretical power',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#a12471',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',lty=4)
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points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
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rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#a12471',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',pch=17)
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legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
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pch=rep(17,5),
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legend=c("Scenario A",
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"Scenario 1-2 / B-D",
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"Scenario 3-4 / B-D",
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"Scenario 1-2 / C-E",
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"Scenario 3-4 / C-E"),cex=0.7)
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# real
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plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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xlab='N',ylab='Proportion of null hypothesis rejection',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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mean.A,col='#c6d18d',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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mean.A,col='#c0c23b',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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mean.A,col='#da77c7',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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mean.A,col='#a12471',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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mean.A,col='#b5a180',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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mean.A,col='#9b6541',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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mean.A,col='#30a466',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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mean.A,col='#1a342b',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,pch=17,col='#03a18a')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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mean.A,col='#c6d18d',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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mean.A,col='#c0c23b',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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mean.A,col='#da77c7',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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mean.A,col='#a12471',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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mean.A,col='#b5a180',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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mean.A,col='#9b6541',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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mean.A,col='#30a466',pch=17)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
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points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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mean.A,col='#1a342b',pch=17)
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legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
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pch=rep(17,5),
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legend=c("Scenario A",
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"Scenario 1-2 / B-D",
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"Scenario 3-4 / B-D",
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"Scenario 1-2 / C-E",
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"Scenario 3-4 / C-E"),cex=0.7)
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library(tinytex)
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tlmgr_install('soul')
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res.dat[res.dat$scenario=='2B',]$theoretical.power
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res.dat[res.dat$scenario=='2B',]$h0.rejected.p
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res.dat[res.dat$scenario=='1B',]$h0.rejected.p
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res.dat[res.dat$scenario=='1B',]$theoretical.power
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library(TAM)
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library(doMC)
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library(parallel)
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library(pbmcapply)
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library(funprog)
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library(dplyr)
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library(readxl)
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res.dat[res.dat$scenario=="2D",]$h0.rejected.p
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##############################################################################
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#----------------------------------------------------------------------------#
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################################# POWER PLOTS ################################
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#----------------------------------------------------------------------------#
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##############################################################################
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## Plot 1 - baseline scenarios vs theoretical power
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par(mfrow=c(1,2))
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# theoretical
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plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),rep(unique(plot.dat[plot.dat$scenario.type=="A",]$theoretical.power),3),
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xlab='N',ylab='Theoretical power',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#a12471',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',lty=4)
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lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',lty=4)
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points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
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rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#a12471',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',pch=17)
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points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',pch=17)
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legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
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pch=rep(17,5),
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legend=c("Scenario A",
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"Scenario 1-2 / B-D",
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"Scenario 3-4 / B-D",
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"Scenario 1-2 / C-E",
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"Scenario 3-4 / C-E"),cex=0.7)
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# real
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plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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xlab='N',ylab='Proportion of null hypothesis rejection',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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mean.A,col='#c6d18d',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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mean.A,col='#c0c23b',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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mean.A,col='#da77c7',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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mean.A,col='#a12471',lty=4)
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
mean.A,col='#b5a180',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
mean.A,col='#9b6541',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
mean.A,col='#30a466',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
mean.A,col='#1a342b',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,pch=17,col='#03a18a')
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
|
mean.A,col='#c6d18d',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
|
|
mean.A,col='#c0c23b',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
|
mean.A,col='#da77c7',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
|
|
mean.A,col='#a12471',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
mean.A,col='#b5a180',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
mean.A,col='#9b6541',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
mean.A,col='#30a466',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
mean.A,col='#1a342b',pch=17)
|
|
legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
|
|
pch=rep(17,5),
|
|
legend=c("Scenario A",
|
|
"Scenario 1-2 / B-D",
|
|
"Scenario 3-4 / B-D",
|
|
"Scenario 1-2 / C-E",
|
|
"Scenario 3-4 / C-E"),cex=0.7)
|
|
###### Puissance théorique
|
|
res.dat$theoretical.power <- 0
|
|
### Scénarios N=100
|
|
## Scénarios J=4 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==100,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==100,]$theoretical.power <- 0.1543
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==100,]$theoretical.power <- 0.1543
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==100,]$theoretical.power <- 0.4627
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==100,]$theoretical.power <- 0.4627
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==100,]$theoretical.power <- 0.1543
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==100,]$theoretical.power <- 0.4627
|
|
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==100,]$theoretical.power <- 0.4627
|
|
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==100,]$theoretical.power <- 0.1543
|
|
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==100,]$theoretical.power <- 0.4627
|
|
## Scénarios J=4 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==100,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==100,]$theoretical.power <- 0.2177
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==100,]$theoretical.power <- 0.2177
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==100,]$theoretical.power <- 0.6586
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==100,]$theoretical.power <- 0.6586
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==100,]$theoretical.power <- 0.2177
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==100,]$theoretical.power <- 0.6586
|
|
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==100,]$theoretical.power <- 0.6586
|
|
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==100,]$theoretical.power <- 0.2177
|
|
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==100,]$theoretical.power <- 0.6586
|
|
## Scénarios J=7 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==100,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==100,]$theoretical.power <- 0.1870
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==100,]$theoretical.power <- 0.1870
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==100,]$theoretical.power <- 0.5666
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==100,]$theoretical.power <- 0.5666
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==100,]$theoretical.power <- 0.1870
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==100,]$theoretical.power <- 0.5666
|
|
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==100,]$theoretical.power <- 0.5666
|
|
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==100,]$theoretical.power <- 0.1870
|
|
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==100,]$theoretical.power <- 0.5666
|
|
## Scénarios J=7 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==100,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==100,]$theoretical.power <- 0.2450
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==100,]$theoretical.power <- 0.2450
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==100,]$theoretical.power <- 0.7136
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==100,]$theoretical.power <- 0.7136
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==100,]$theoretical.power <- 0.2450
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==100,]$theoretical.power <- 0.7136
|
|
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==100,]$theoretical.power <- 0.7136
|
|
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==100,]$theoretical.power <- 0.2450
|
|
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==100,]$theoretical.power <- 0.7136
|
|
### Scénarios N=200
|
|
## Scénarios J=4 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==200,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==200,]$theoretical.power <- 0.2618
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==200,]$theoretical.power <- 0.2618
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==200,]$theoretical.power <- 0.7507
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==200,]$theoretical.power <- 0.7507
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==200,]$theoretical.power <- 0.2618
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==200,]$theoretical.power <- 0.7507
|
|
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==200,]$theoretical.power <- 0.7507
|
|
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==200,]$theoretical.power <- 0.2618
|
|
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==200,]$theoretical.power <- 0.7507
|
|
## Scénarios J=4 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==200,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==200,]$theoretical.power <- 0.3875
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==200,]$theoretical.power <- 0.3875
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==200,]$theoretical.power <- 0.9161
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==200,]$theoretical.power <- 0.9161
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==200,]$theoretical.power <- 0.3875
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==200,]$theoretical.power <- 0.9161
|
|
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==200,]$theoretical.power <- 0.9161
|
|
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==200,]$theoretical.power <- 0.3875
|
|
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==200,]$theoretical.power <- 0.9161
|
|
## Scénarios J=7 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==200,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==200,]$theoretical.power <- 0.3258
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==200,]$theoretical.power <- 0.3258
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==200,]$theoretical.power <- 0.8538
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==200,]$theoretical.power <- 0.8538
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==200,]$theoretical.power <- 0.3258
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==200,]$theoretical.power <- 0.8538
|
|
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==200,]$theoretical.power <- 0.8538
|
|
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==200,]$theoretical.power <- 0.3258
|
|
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==200,]$theoretical.power <- 0.8538
|
|
## Scénarios J=7 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==200,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==200,]$theoretical.power <- 0.4321
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==200,]$theoretical.power <- 0.4321
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==200,]$theoretical.power <- 0.9471
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==200,]$theoretical.power <- 0.9471
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==200,]$theoretical.power <- 0.4321
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==200,]$theoretical.power <- 0.9471
|
|
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==200,]$theoretical.power <- 0.9471
|
|
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==200,]$theoretical.power <- 0.4321
|
|
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==200,]$theoretical.power <- 0.9471
|
|
### Scénarios N=300
|
|
## Scénarios J=4 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==300,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==300,]$theoretical.power <- 0.3660
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==300,]$theoretical.power <- 0.3660
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==300,]$theoretical.power <- 0.8981
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==300,]$theoretical.power <- 0.8981
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==300,]$theoretical.power <- 0.3660
|
|
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==300,]$theoretical.power <- 0.8981
|
|
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==300,]$theoretical.power <- 0.8981
|
|
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==300,]$theoretical.power <- 0.3660
|
|
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==300,]$theoretical.power <- 0.8981
|
|
## Scénarios J=4 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==300,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==300,]$theoretical.power <- 0.5373
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==300,]$theoretical.power <- 0.5373
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==300,]$theoretical.power <- 0.9834
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==300,]$theoretical.power <- 0.9834
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==300,]$theoretical.power <- 0.5373
|
|
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==300,]$theoretical.power <- 0.9834
|
|
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==300,]$theoretical.power <- 0.9834
|
|
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==300,]$theoretical.power <- 0.5373
|
|
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==300,]$theoretical.power <- 0.9834
|
|
## Scénarios J=7 / M=2
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==300,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==300,]$theoretical.power <- 0.4550
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==300,]$theoretical.power <- 0.4550
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==300,]$theoretical.power <- 0.9584
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==300,]$theoretical.power <- 0.9584
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==300,]$theoretical.power <- 0.4550
|
|
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==300,]$theoretical.power <- 0.9584
|
|
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==300,]$theoretical.power <- 0.9584
|
|
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==300,]$theoretical.power <- 0.4550
|
|
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==300,]$theoretical.power <- 0.9584
|
|
## Scénarios J=7 / M=4
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==300,]$theoretical.power <- 0.05
|
|
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==300,]$theoretical.power <- 0.5907
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==300,]$theoretical.power <- 0.5907
|
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==300,]$theoretical.power <- 0.9919
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res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==300,]$theoretical.power <- 0.9919
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res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==300,]$theoretical.power <- 0.5907
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res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==300,]$theoretical.power <- 0.9919
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|
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==300,]$theoretical.power <- 0.9919
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res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==300,]$theoretical.power <- 0.5907
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res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==300,]$theoretical.power <- 0.9919
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### DIF scenarios
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res.dat.dif$theoretical.power <- res.dat[61:nrow(res.dat),]$theoretical.power
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## Plot 1 - baseline scenarios vs theoretical power
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par(mfrow=c(1,2))
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# theoretical
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plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),rep(unique(plot.dat[plot.dat$scenario.type=="A",]$theoretical.power),3),
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xlab='N',ylab='Theoretical power',
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|
xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
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|
axis(1,c(100,200,300))
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|
axis(2,seq(0,1,0.1))
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|
lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c6d18d',lty=4)
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|
lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',lty=4)
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#da77c7',lty=4)
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|
lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',lty=4)
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#b5a180',lty=4)
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',lty=4)
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|
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#30a466',lty=4)
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|
lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',lty=4)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
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|
rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
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|
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
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|
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c6d18d',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#da77c7',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#b5a180',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#30a466',pch=17)
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',pch=17)
|
|
legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
|
|
pch=rep(17,5),
|
|
legend=c("Scenario A",
|
|
"Scenario 1-2 / B-D",
|
|
"Scenario 3-4 / B-D",
|
|
"Scenario 1-2 / C-E",
|
|
"Scenario 3-4 / C-E"),cex=0.7)
|
|
# real
|
|
plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
|
|
plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
xlab='N',ylab='Proportion of null hypothesis rejection',
|
|
xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
|
|
axis(1,c(100,200,300))
|
|
axis(2,seq(0,1,0.1))
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
|
mean.A,col='#c6d18d',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
|
|
mean.A,col='#c0c23b',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
|
mean.A,col='#da77c7',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
|
|
mean.A,col='#a12471',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
mean.A,col='#b5a180',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
mean.A,col='#9b6541',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
mean.A,col='#30a466',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
|
|
lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
mean.A,col='#1a342b',lty=4)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario.type=="A" & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,pch=17,col='#03a18a')
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1B","1D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
|
mean.A,col='#c6d18d',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2B","2D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
|
|
mean.A,col='#c0c23b',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3B","3D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
|
mean.A,col='#da77c7',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4B","4D") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
|
|
mean.A,col='#a12471',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("1C","1E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
mean.A,col='#b5a180',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("2C","2E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
mean.A,col='#9b6541',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("3C","3E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
mean.A,col='#30a466',pch=17)
|
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario%in% c("4C","4E") & plot.dat$N==x,]$h0.rejected.p))
|
|
points(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
mean.A,col='#1a342b',pch=17)
|
|
legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
|
|
pch=rep(17,5),
|
|
legend=c("Scenario A",
|
|
"Scenario 1-2 / B-D",
|
|
"Scenario 3-4 / B-D",
|
|
"Scenario 1-2 / C-E",
|
|
"Scenario 3-4 / C-E"),cex=0.7)
|