Preparing modality merger script
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9C" & plot.dat$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=="11C" & 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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#### Scenarios with J=4 / M=2
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# B / Effect size 0.2 /
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plot.dat <- res.dat
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1B" & plot.dat$N==x,]$h0.rejected.p))
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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xlab='N',ylab='Proportion of null hypothesis rejection',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a',main='Scenarios with Effect size 0.2')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#03a18a')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5B" & 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='#a12471')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#a12471')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7B" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9B" & 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$scenario=="11B" & plot.dat$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",]$N),mean.A,
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pch=17,col='#c0c23b')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5C" & 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='red')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#a12471')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7C" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='blue')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9C" & 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='purple')
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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$scenario=="11C" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='orange')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#c0c23b')
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# B / Effect size 0.2 /
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plot.dat <- res.dat
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1B" & 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',main='Scenarios with Effect size 0.2')
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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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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#03a18a')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5B" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#a12471')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7B" & 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='#9b6541')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9B" & plot.dat$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=="11B" & 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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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5C" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='red')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='red')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7C" & 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='blue')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='blue')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9C" & plot.dat$N==x,]$h0.rejected.p))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='purple')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='purple')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11C" & 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='orange')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='orange')
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res.dat$bias <- res.dat$eff.size-res.dat$m.beta
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res.dat.dif$bias <- res.dat.dif$eff.size-res.dat.dif$m.beta
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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$bias
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par(mfrow=c(1,1))
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#### Scenarios with J=4 / M=2
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# A / H=0
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plot.dat <- res.dat
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1A" & plot.dat$N==x,]$bias))
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mean.A
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par(mfrow=c(1,1))
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#### Scenarios with J=4 / M=2
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# A / H=0
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plot.dat <- res.dat
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1A" & plot.dat$N==x,]$bias))
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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xlab='N',ylab='Bias',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(-1,1),lty=4,col='#03a18a',main='Scenarios where H0 is TRUE')
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axis(1,c(100,200,300))
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axis(2,seq(0,1,0.1))
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#03a18a')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5A" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#a12471')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7A" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9A" & plot.dat$N==x,]$bias))
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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,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#c0c23b')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#c0c23b')
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#### Scenarios with J=4 / M=2
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# B/ H=0
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plot.dat <- res.dat
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1B" & plot.dat$N==x,]$bias))
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plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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xlab='N',ylab='Bias',
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xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(-1,1),lty=4,col='#03a18a',main='Scenarios where H0 is TRUE')
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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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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#03a18a')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5B" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#a12471')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7B" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='#9b6541')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9B" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$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=="11B" & plot.dat$N==x,]$bias))
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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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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5C" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='red')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='red')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7C" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='blue')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='blue')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9C" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='purple')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='purple')
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mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11C" & plot.dat$N==x,]$bias))
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lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='orange')
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points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
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pch=17,col='orange')
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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'),]$theoretical.power),col='#a12471',lty=4)
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
|
||||||
unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',lty=4)
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
|
||||||
unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',lty=4)
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
|
||||||
unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',lty=4)
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
|
||||||
unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',lty=4)
|
|
||||||
points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
|
|
||||||
rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
|
|
||||||
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
|
||||||
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',pch=17)
|
|
||||||
points(unique(plot.dat[plot.dat$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'),]$theoretical.power),col='#a12471',pch=17)
|
|
||||||
points(unique(plot.dat[plot.dat$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'),]$theoretical.power),col='#9b6541',pch=17)
|
|
||||||
points(unique(plot.dat[plot.dat$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'),]$theoretical.power),col='#1a342b',pch=17)
|
|
||||||
points(unique(plot.dat[plot.dat$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)
|
|
||||||
par(mfrow=c(1,1))
|
|
||||||
#### Scenarios with J=4 / M=2
|
|
||||||
# A / H=0
|
|
||||||
plot.dat <- res.dat
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
xlab='N',ylab='Proportion of null hypothesis rejection',
|
|
||||||
xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a',main='Scenarios where H0 is TRUE')
|
|
||||||
axis(1,c(100,200,300))
|
|
||||||
axis(2,seq(0,1,0.1))
|
|
||||||
points(unique(plot.dat[plot.dat$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=="5A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#a12471')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#9b6541')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#1a342b')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#1a342b')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#c0c23b')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#c0c23b')
|
|
||||||
# B / Effect size 0.2
|
|
||||||
plot.dat <- res.dat
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1B" & 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',main='Scenarios with Effect size 0.2')
|
|
||||||
axis(1,c(100,200,300))
|
|
||||||
axis(2,seq(0,1,0.1))
|
|
||||||
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$scenario=="5B" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#a12471')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7B" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#9b6541')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9B" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#1a342b')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#1a342b')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11B" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#c0c23b')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#c0c23b')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="5C" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='red')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='red')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7C" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='blue')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='blue')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9C" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='purple')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='purple')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="11C" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='orange')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='orange')
|
|
||||||
par(mfrow=c(1,1))
|
|
||||||
#### Scenarios with J=4 / M=2
|
|
||||||
# A / H=0
|
|
||||||
plot.dat <- res.dat
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="1A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
xlab='N',ylab='Proportion of null hypothesis rejection',
|
|
||||||
xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a',main='Scenarios where H0 is TRUE')
|
|
||||||
axis(1,c(100,200,300))
|
|
||||||
axis(2,seq(0,1,0.1))
|
|
||||||
points(unique(plot.dat[plot.dat$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=="5A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#a12471')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#a12471')
|
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="7A" & plot.dat$N==x,]$h0.rejected.p))
|
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#9b6541')
|
|
||||||
points(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,
|
|
||||||
pch=17,col='#9b6541')
|
pch=17,col='#9b6541')
|
||||||
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9A" & plot.dat$N==x,]$h0.rejected.p))
|
mean.A <- sapply(c(100,200,300),function(x) mean(plot.dat[plot.dat$scenario=="9A" & plot.dat$N==x,]$h0.rejected.p))
|
||||||
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#1a342b')
|
lines(unique(plot.dat[plot.dat$scenario.type=="A",]$N),mean.A,lty=4,col='#1a342b')
|
||||||
@ -510,3 +124,389 @@ legend=c("Scenario A",
|
|||||||
"Scenario 3-4 / C-E"),cex=0.7)
|
"Scenario 3-4 / C-E"),cex=0.7)
|
||||||
library(tinytex)
|
library(tinytex)
|
||||||
tlmgr_install('soul')
|
tlmgr_install('soul')
|
||||||
|
res.dat[res.dat$scenario=='2B',]$theoretical.power
|
||||||
|
res.dat[res.dat$scenario=='2B',]$h0.rejected.p
|
||||||
|
res.dat[res.dat$scenario=='1B',]$h0.rejected.p
|
||||||
|
res.dat[res.dat$scenario=='1B',]$theoretical.power
|
||||||
|
library(TAM)
|
||||||
|
library(doMC)
|
||||||
|
library(parallel)
|
||||||
|
library(pbmcapply)
|
||||||
|
library(funprog)
|
||||||
|
library(dplyr)
|
||||||
|
library(readxl)
|
||||||
|
res.dat[res.dat$scenario=="2D",]$h0.rejected.p
|
||||||
|
##############################################################################
|
||||||
|
#----------------------------------------------------------------------------#
|
||||||
|
################################# POWER PLOTS ################################
|
||||||
|
#----------------------------------------------------------------------------#
|
||||||
|
##############################################################################
|
||||||
|
## Plot 1 - baseline scenarios vs theoretical power
|
||||||
|
par(mfrow=c(1,2))
|
||||||
|
# theoretical
|
||||||
|
plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
|
||||||
|
plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),rep(unique(plot.dat[plot.dat$scenario.type=="A",]$theoretical.power),3),
|
||||||
|
xlab='N',ylab='Theoretical power',
|
||||||
|
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))
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',lty=4)
|
||||||
|
lines(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',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#a12471',lty=4)
|
||||||
|
lines(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',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#9b6541',lty=4)
|
||||||
|
lines(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',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#1a342b',lty=4)
|
||||||
|
lines(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',lty=4)
|
||||||
|
points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
|
||||||
|
rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
|
||||||
|
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c0c23b',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='#a12471',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='#9b6541',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='#1a342b',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'),]$N),
|
||||||
|
mean.A,col='#1a342b',pch=17)
|
||||||
|
legend("topleft",lty=rep(4,5),col=c("#03a18a","#c0c23b","#a12471","#9b6541","#1a342b"),
|
||||||
|
pch=rep(17,5),
|
||||||
|
legend=c("Scenario A",
|
||||||
|
"Scenario 1-2 / B-D",
|
||||||
|
"Scenario 3-4 / B-D",
|
||||||
|
"Scenario 1-2 / C-E",
|
||||||
|
"Scenario 3-4 / C-E"),cex=0.7)
|
||||||
|
###### Puissance théorique
|
||||||
|
res.dat$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
|
||||||
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==300,]$theoretical.power <- 0.9919
|
||||||
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==300,]$theoretical.power <- 0.5907
|
||||||
|
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==300,]$theoretical.power <- 0.9919
|
||||||
|
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==300,]$theoretical.power <- 0.9919
|
||||||
|
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==300,]$theoretical.power <- 0.5907
|
||||||
|
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==300,]$theoretical.power <- 0.9919
|
||||||
|
### DIF scenarios
|
||||||
|
res.dat.dif$theoretical.power <- res.dat[61:nrow(res.dat),]$theoretical.power
|
||||||
|
## Plot 1 - baseline scenarios vs theoretical power
|
||||||
|
par(mfrow=c(1,2))
|
||||||
|
# theoretical
|
||||||
|
plot.dat <- res.dat[res.dat$scenario %in% sapply(c('A','B','C','D','E'),function(x) paste0(1:4,x)),]
|
||||||
|
plot(unique(plot.dat[plot.dat$scenario.type=="A",]$N),rep(unique(plot.dat[plot.dat$scenario.type=="A",]$theoretical.power),3),
|
||||||
|
xlab='N',ylab='Theoretical power',
|
||||||
|
xaxt='n',yaxt='n',type='l',xlim=c(100,300),ylim=c(0,1),lty=4,col='#03a18a')
|
||||||
|
axis(1,c(100,200,300))
|
||||||
|
axis(2,seq(0,1,0.1))
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$theoretical.power),col='#c6d18d',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("2B",'2D'),]$theoretical.power),col='#c0c23b',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("3B",'3D'),]$theoretical.power),col='#da77c7',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("4B",'4D'),]$theoretical.power),col='#a12471',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("1C",'1E'),]$theoretical.power),col='#b5a180',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("2C",'2E'),]$theoretical.power),col='#9b6541',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("3C",'3E'),]$theoretical.power),col='#30a466',lty=4)
|
||||||
|
lines(unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$scenario %in% c("4C",'4E'),]$theoretical.power),col='#1a342b',lty=4)
|
||||||
|
points(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$N),
|
||||||
|
rep(unique(plot.dat[plot.dat$scenario %in% c("1A",'1A'),]$theoretical.power),3),col='#03a18a',pch=17)
|
||||||
|
points(unique(plot.dat[plot.dat$scenario %in% c("1B",'1D'),]$N),
|
||||||
|
unique(plot.dat[plot.dat$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)
|
||||||
|
|||||||
108
Scripts/Analysis/DIF/item_merger.do
Normal file
108
Scripts/Analysis/DIF/item_merger.do
Normal file
@ -0,0 +1,108 @@
|
|||||||
|
// MERGE des modalités si non représentées
|
||||||
|
|
||||||
|
forvalues j = 1 / `nbitems' {
|
||||||
|
local recoda_`j' = 0
|
||||||
|
qui tab `item`j'' if `tt' == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j') // Récupération des infos moda du temps 1pour chaque groupe
|
||||||
|
local minm`j'_t1_g0 = rect1_g0_`j'[1,1]
|
||||||
|
local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1]
|
||||||
|
|
||||||
|
qui tab `item`j'' if `tt' == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j')
|
||||||
|
local minm`j'_t1_g1 = rect1_g1_`j'[1,1]
|
||||||
|
local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1]
|
||||||
|
|
||||||
|
local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1') // Info moda pour l'item j
|
||||||
|
local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1')
|
||||||
|
local nbm_`j' = 4
|
||||||
|
|
||||||
|
if `minm_`j'' != 0 & `com_z' == 0 {
|
||||||
|
local com_z = 1
|
||||||
|
}
|
||||||
|
//Recodage des réponses en 0, 1, 2, etc...
|
||||||
|
//forvalues r = 0/`=`maxm_`j''-1' {
|
||||||
|
//qui replace `item`j'' = `r' if `item`j'' == `=`r'+`minm_`j'''
|
||||||
|
//qui replace ``=`j'+`nbitems''' = `r' if ``=`j'+`nbitems''' == `=`r'+`minm_`j'''
|
||||||
|
//}
|
||||||
|
|
||||||
|
// Vérif. Que toutes les modas sont utilisées & concordance entre temps
|
||||||
|
forvalues m = 0/`=`nbm_`j''-1' {
|
||||||
|
qui count if `item`j'' == `m' & `tt' == 0
|
||||||
|
local nb_rn1_g0 = r(N)
|
||||||
|
qui count if `item`j'' == `m' & `tt' == 1
|
||||||
|
local nb_rn1_g1 = r(N)
|
||||||
|
local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1')
|
||||||
|
|
||||||
|
if `nb_rn' == 0 { // Une moda n'est pas utilisée
|
||||||
|
local recoda_`j' = 1
|
||||||
|
if `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' { // La moda 0 n'est pas utilisée
|
||||||
|
local stop = 1
|
||||||
|
forvalues k = 1/`=`nbm_`j''-`m'' {
|
||||||
|
qui count if `item`j'' == `=`m' + `k'' & `tt' == 0
|
||||||
|
local v`k'1_0 = r(N)
|
||||||
|
qui count if `item`j'' == `=`m' + `k'' & `tt' == 1
|
||||||
|
local v`k'1_1 = r(N)
|
||||||
|
if (`v`k'1_0' != 0 | `v`k'1_1' != 0) & `stop' != 0 {
|
||||||
|
qui replace `item`j''= `=`m'+`k'' if `item`j''==`m'
|
||||||
|
qui replace ``=`j'+`nbitems'''=`=`m'+`k'' if ``=`j'+`nbitems'''==`m'
|
||||||
|
di "WARNING: items `item`j'' & ``=`j'+`nbitems''': answers `m' and `=`m'+`k'' merged"
|
||||||
|
local stop = 0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' { // La moda max n'est pas utilisée
|
||||||
|
local stop = 1
|
||||||
|
forvalues k = 1/`=`m'' {
|
||||||
|
qui count if `item`j'' == `=`m' - `k'' & `tt' == 0
|
||||||
|
local v`k'1_0 = r(N)
|
||||||
|
qui count if `item`j'' == `=`m' - `k'' & `tt' == 1
|
||||||
|
local v`k'1_1 = r(N)
|
||||||
|
if (`v`k'1_0' != 0 | `v`k'1_1' != 0) & `stop' != 0 {
|
||||||
|
qui replace `item`j''= `=`m' - `k'' if `item`j''==`m'
|
||||||
|
qui replace ``=`j'+`nbitems'''= `=`m' - `k'' if ``=`j'+`nbitems'''==`m'
|
||||||
|
di "WARNING: items `item`j'' & ``=`j'+`nbitems''': answers `m' and `=`m'-`k'' merged"
|
||||||
|
local stop = 0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
else { // Moda central non utilisée
|
||||||
|
if runiform()>0.5{ // Tirage au sort pour regrouper
|
||||||
|
local stop = 1
|
||||||
|
forvalues k = 1/`m' {
|
||||||
|
qui count if `item`j'' == `=`m' - `k'' & `tt' == 0
|
||||||
|
local v`k'1_0 = r(N)
|
||||||
|
qui count if `item`j'' == `=`m' - `k'' & `tt' == 1
|
||||||
|
local v`k'1_1 = r(N)
|
||||||
|
if (`v`k'1_0' != 0 | `v`k'1_1' != 0) & `stop' != 0 {
|
||||||
|
qui replace `item`j''= `=`m'-`k'' if `item`j''==`m'
|
||||||
|
qui replace ``=`j'+`nbitems'''=`=`m'-`k'' if ``=`j'+`nbitems'''==`m'
|
||||||
|
di "WARNING: items `item`j'' & ``=`j'+`nbitems''': answers `m' and `=`m'-`k'' merged"
|
||||||
|
local stop = 0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
local stop = 1
|
||||||
|
forvalues k = 1/`=`nbm_`j''-`m'' {
|
||||||
|
qui count if `item`j'' == `=`m' + `k'' & `tt' == 0
|
||||||
|
local v`k'1_0 = r(N)
|
||||||
|
qui count if `item`j'' == `=`m' + `k'' & `tt' == 1
|
||||||
|
local v`k'1_1 = r(N)
|
||||||
|
if (`v`k'1_0' != 0 | `v`k'1_1' != 0) & `stop' != 0{
|
||||||
|
qui replace `item`j''=`=`m' + `k'' if `item`j''==`m'
|
||||||
|
qui replace ``=`j'+`nbitems'''=`=`m' + `k'' if ``=`j'+`nbitems'''==`m'
|
||||||
|
di "WARNING: items `item`j'' & ``=`j'+`nbitems''': answers `m' and `=`m'+`k'' merged"
|
||||||
|
local stop = 0
|
||||||
|
}
|
||||||
|
else {
|
||||||
|
if `stop' != 0 {
|
||||||
|
qui replace `item`j''= `nbm_`j'' if `item`j''==`m'
|
||||||
|
qui replace ``=`j'+`nbitems'''= `nbm_`j'' if ``=`j'+`nbitems'''==`m'
|
||||||
|
di "WARNING: items `item`j'' & ``=`j'+`nbitems''': answers `m' and `nbm_`j'' merged"
|
||||||
|
local stop = 0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user