Nothing
plotBio.fn <-
function(bio,CI=0.95,scalar=1e6,gap=0.03,ylab="Biomass ('000 mt)",xlab="Year",ylim=NULL,...) {
#Plots the biomass with confidence intervals
#uses data in the format of SS3, so you can use the GetTotalBiomass.fn or your own data.frame
#scalar is simply the divisor for the biomass
#gap is a value that introduces a slight gap between the point estimate and the start of the line for the CI
# careful because a gap too large will invert the CI, making it look huge. You should know when this happens
y <- as.numeric(as.character(bio$Value/scalar))
x <- as.numeric(as.character(bio$Year))
se <- as.numeric(as.character(bio$seLogB))
logB <- log(bio$Value)
ci <- exp(rbind(c(logB+qnorm(1-(1-CI)/2)*se),c(logB-qnorm(1-(1-CI)/2)*se)))/scalar
if(is.null(ylim)) {
ylim <- c(0,1.05*max(ci,na.rm=TRUE))
}
gap <- gap*max(y)
plot(x,y,,ylab=ylab,xlab=xlab,ylim=ylim,...)
segments(x,y+gap,x,ci[1,])
segments(x,y-gap,x,ci[2,])
}
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