##################################################################
# plot.SR.R(base)
plot.SR.R <- function(data.objects) {
nobjects <- length(data.objects)
recdevs <- NULL
steep <- NULL
M1<- NULL
M10 <- NULL
SSB <- NULL
R <- NULL
alpha <-NULL
beta <- NULL
sigmaR <- NULL
xx<- data.objects[[1]]
n<- length(xx$Recruitment)
for (i in 1:nobjects)
{
xx <- data.objects[[i]]
recdevs <- rbind(recdevs,xx$Rdev)
steep <- rbind(steep,xx$steep)
M1<- rbind(M1,xx$M[2])
M10 <- rbind(M10,xx$M[11])
R <- rbind(R,xx$Recruitment[-n])
SSB <- rbind(SSB,xx$Sbio[-n]/xx$Sbio[1])
alpha <-rbind(alpha,xx$alpha[2])
beta <- rbind(beta,xx$beta[2]/xx$Sbio[1])
sigmaR <- rbind(sigmaR,xx$sigma.r)
}
# rownames(steep) <- names(data.objects)
years<- xx$years[1]:xx$years[2]
par(mfrow=c(2,1),mar=c(3,3,1,1))
matplot(years,t(R),type="l",xlab="Year",ylab="Recruitment",mgp=c(2,0.5,0))
abline(v=1950)
abline(v=1970)
abline(v=1990)
matplot(years,t(SSB),type="l",xlab="Year",ylab="TRO",mgp=c(2,0.5,0),ylim=c(0,max(SSB)))
abline(v=1950)
abline(v=1970)
abline(v=1990)
par(new=T, usr=c(0, 1, 0, 1))
text(0.6,0.9,"", cex=1.2)
windows()
par(mfrow=c(4,3),mar=c(2,2,0,1),oma=c(2,2,0,0),mgp=c(2,0.5,0))
ss<- seq(0,1,0.01)
for (m1 in sort(unique(M1)))
{
for (m10 in sort(unique(M10)))
{
id <- M1==m1 & M10 == m10
matplot(t(SSB[id,]),t(R[id,]),xlim=c(0,1),ylim=c(0,max(R)),type="l",ylab="",xlab="")
aa <- alpha[id]*exp(0.5*sigmaR[id])
bb <- beta[id]
for (i in 1:length(bb))
{
rr <- aa[i]*ss/(bb[i]+ss)
lines(ss,rr)
}
par(new=T, usr=c(0, 1, 0, 1))
text(0.05,0.94,paste("M1=",m1),adj=0)
text(0.05,0.85,paste("M10=",m10),adj=0)
}
}
mtext("SSB",1,0.8,cex=1.3,outer=T)
mtext("Recruitment",2,0.7,cex=1.3,outer=T)
}
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