#' @export
plotSurveyIndex<-function(trend.dat,yrs,graphic='pdf',index.variable="LobDen",moving.avg=T,moving.median=T,ref.points=T,index.stations=T,fn="SurveyIndex",yLabel=expression(paste("Mean N / ", km^2)),wd=8,ht=6,se=F,add.legend=F,legend.specs = list(leg.place='topleft',lty=c(1,2,1),col=c('orange','green','rgb(0,0,1,0.5)'))){
## Plot Survey Index Figure 4
if(index.stations){
trend.dat = calcIndexStations(trend.dat,n=16, map=F, include.current.year=F)
}
if(missing(yrs))yrs=sort(unique(trend.dat$YEAR))
trend.dat = subset(trend.dat,YEAR%in%yrs)
trend.dat$Y <- unlist(trend.dat[index.variable])
LPT <- with(trend.dat,tapply(Y,YEAR,mean,na.rm=T))
yrs <- as.numeric(names(LPT))
LPTsd <- with(trend.dat,tapply(Y,YEAR,sd,na.rm=T))
LPTn <- with(trend.dat,tapply(Y,YEAR,length))
LPTse <- LPTsd/sqrt(LPTn)
rmLPT <- mavg(LPT)
if(graphic=='pdf')pdf(file.path( project.figuredirectory("bio.lobster"), paste0(fn,".pdf")),wd,ht)
if(graphic=='png')png(file=file.path(project.figuredirectory("bio.lobster"), paste0(fn,".png")),units='in',width=wd,height=ht,pointsize=12, res=300,type='cairo')
if(graphic=='R')x11()
plot(yrs,LPT,pch=16,ylim=c(0,max(LPT+LPTse)),xlab='',ylab=yLabel,las=1)
axis(1,yrs,lab=F,tck=-0.01)
if(se==T) arrows(yrs, LPT+LPTse, yrs, LPT-LPTse ,code=3,angle=90,length=0.05)
if(se) arrows(yrs, LPT+LPTse, yrs, LPT-LPTse ,code=3,angle=90,length=0.05)
if(moving.avg)lines(yrs[-(1:2)],rmLPT[!is.na(rmLPT)],lty=3,col='red',lwd=3)
if(moving.median) lines(yrs,runmed(LPT,3),lty=2,col='green',lwd=3)
if(ref.points){
abline(h=median(LPT[1:14])*0.8,col='blue',lwd=2)
#text(max(yrs)+.5,median(LPT[1:14]*0.8)*.85,"Upper Stock Reference",col=rgb(0,0,1,0.5),pos=2,cex=0.8)
print(median(LPT[1:14]*0.8))
}
return(list(Mean = LPT, yrs = yrs, moving.median = runmed(LPT,3), moving.mean = rmLPT ))
if(add.legend){with(legend.specs)
}
if(graphic!='R'){
print(paste('Plot is saved in',file.path( project.figuredirectory('bio.lobster'), paste0(fn,".pdf")),sep=""))
dev.off()
}
}
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