library(perform)
library(plotHacks)
res<-readRDS("vignettes/simulations/results/mergedSimResults.rds")
plotIterations<-function(data){
x<-seq(0,26.5,0.25)
for(i in unique(data$index)){
y<-predictPerformance(x,
data[index==i¶meter=="tOpt",mean],
data[index==i¶meter=="ctMax",mean],
data[index==i¶meter=="sigma",mean])
points(y~x,type='l',col=gray(0.5,0.5))
}
y<-predictPerformance(x,
data[index==i¶meter=="tOpt",trueValue],
data[index==i¶meter=="ctMax",trueValue],
data[index==i¶meter=="sigma",trueValue])
points(y~x,type='l',col='black')
}
temp99<-temp[river=="wb jimmy"&!is.na(temperature),quantile(temperature,0.99)]
maxTemp<-temp[river=="wb jimmy"&!is.na(temperature),max(temperature)]
tiff.par("vignettes/simulations/results/figures/samplingEffect.tif",mfrow=c(4,4),oma=c(2,2,2,0),
mar=c(1.5,1.5,0,0))
for(opt in c(8.5,13,16.5,19)){
for(fr in c("annual","seasonal","monthly","daily")){
# for(max in c(17.5,20.5,23.5,26.5)){
plot(NA,xlim=c(0,26.5),ylim=c(-1,1),xlab="",
ylab="Relative Performance")
if(opt==8.5){
par(xpd=NA)
title(main=fr,line=1)
par(xpd=F)
}
abline(v=temp99,lty=2)
abline(v=maxTemp)
# text(4,-0.4,bquote(T[opt]~"="~.(opt)))
# text(4,-0.7,bquote(CT[max]~"="~.(max)))
plotIterations(res[converged==T&sampleFreq==fr&eps==0.00075&tOpt==opt&ctMax==20.5])
}
}
mtext(bquote(Temperature~(degree~C)),1,outer=T,line=0.5)
mtext("Relative Performance",2,outer=T,line=0.5,las=0)
dev.off()
tiff.par("vignettes/simulations/results/figures/epsEffect.tif",mfrow=c(4,3),oma=c(2,2,2,0),
mar=c(1.5,1.5,0,0))
for(opt in c(8.5,13,16.5,19)){
for(e in c(0.000375,0.00075,0.0015)){
# for(max in c(17.5,20.5,23.5,26.5)){
plot(NA,xlim=c(0,26.5),ylim=c(-1,1),xlab="",
ylab="Relative Performance")
if(opt==8.5){
par(xpd=NA)
title(main=e,line=1)
par(xpd=F)
}
abline(v=temp99,lty=2)
abline(v=maxTemp)
# text(4,-0.4,bquote(T[opt]~"="~.(opt)))
# text(4,-0.7,bquote(CT[max]~"="~.(max)))
plotIterations(res[converged==T&sampleFreq=="seasonal"&eps==e&tOpt==opt&ctMax==20.5])
}
}
mtext(bquote(Temperature~(degree~C)),1,outer=T,line=0.5)
mtext("Relative Performance",2,outer=T,line=0.5,las=0)
dev.off()
tiff.par("vignettes/simulations/results/figures/maxEffect.tif",mfrow=c(4,3),oma=c(2,2,2,0),
mar=c(1.5,1.5,0,0))
for(opt in c(8.5,13,16.5,19)){
for(max in c(20.5,23.5,26.5)){
# for(max in c(17.5,20.5,23.5,26.5)){
plot(NA,xlim=c(0,26.5),ylim=c(-1,1),xlab="",
ylab="Relative Performance")
if(opt==8.5){
par(xpd=NA)
title(main=max,line=1)
par(xpd=F)
}
abline(v=temp99,lty=2)
abline(v=maxTemp)
# text(4,-0.4,bquote(T[opt]~"="~.(opt)))
# text(4,-0.7,bquote(CT[max]~"="~.(max)))
plotIterations(res[converged==T&sampleFreq=="seasonal"&eps=="0.000375"&tOpt==opt&ctMax==max])
}
}
mtext(bquote(Temperature~(degree~C)),1,outer=T,line=0.5)
mtext("Relative Performance",2,outer=T,line=0.5,las=0)
dev.off()
for(er in c(0.000375,0.00075,0.0015)){
for(fr in c("annual","seasonal","monthly","daily")){
tiff.par(paste0("vignettes/simulations/results/figures/",er,fr,".tif"),mfrow=c(4,4))
for(opt in c(8.5,13,16.5,19)){
for(max in c(17.5,20.5,23.5,26.5)){
if(max<=opt){
plot(NA,xlim=c(0,1),ylim=c(0,1),axes=F,xlab="",ylab="")
next
}
plot(NA,xlim=c(0,26.5),ylim=c(-1,1),xlab=bquote(Temperature~(degree~C)),
ylab="Relative Performance")
abline(v=temp99,lty=2)
abline(v=maxTemp)
text(4,-0.4,bquote(T[opt]~"="~.(opt)))
text(4,-0.7,bquote(CT[max]~"="~.(max)))
plotIterations(res[converged==T&sampleFreq==fr&eps==er&tOpt==opt&ctMax==max])
}
}
dev.off()
}
}
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