#maturity modelling
options(stringsAsFactors=F)
require(bio.lobster)
require(lubridate)
require(ggplot2)
require(tidyr)
require(statmod)
p = bio.lobster::load.environment()
la()
##########------------------ Data Input ------------------##########
a = read.csv(file.path(project.datadirectory('bio.lobster'),'data','Maturity','LobsterMaturityDatabase.csv'))
##########-----------------------------------------------##########
a$Y = a$Lat
a$X = a$Long*-1
a$EID = 1:nrow(a)
a$Date = as.Date(a$Date,"%d/%m/%Y")
a$mon = month(a$Date)
a$year = year(a$Date)
#LobsterMap('all')
#addPoints(na.omit(a[,c('X','Y','EID')]),col='red')
a=subset(a, Sex == 2) #Remove Berried Females
a=subset(a, Cemgland_stage != 'n/a')
a=subset(a, mon == 5 | mon == 6)#Filter out July and August
#Pleopod Staging
a$Pleopod_mat <-ifelse(a$Cemgland_stage<2,0,1)
## Add LFAs
a$LFA <- ""
a$LFA <-ifelse(a$Location == "Lobster Bay", 34, a$LFA)
a$LFA <-ifelse(a$Location == "Harrigan Cove" | a$Location == "Tangier"| a$Location == "Mushaboom", 32, a$LFA)
a$LFA <-ifelse(a$Location == "Port Mouton", 33,a$LFA)
a$LFA <-ifelse(a$Location == "Canso", 31, a$LFA)
a = subset(a,Carapace_mm <150)
b=a
#b = subset(a,LFA == 33)
b = subset(b,Carapace_mm<120)
g = glm(Pleopod_mat~Carapace_mm,data=b,family=binomial(link='logit'))
plot(b$Carapace_mm, b$Pleopod_mat, pch = 16, xlab = "Carapace Length", ylab = "Maturity")
l = seq(min(b$Carapace_mm),max(b$Carapace_mm),by=.1)
mm =predict(g,list(Carapace_mm=l),type='response')
lines(l,mm)
l[which.min(abs(mm-.5))]
#correct CI's
ndata <- list(Carapace_mm=l)
ndata = glmCIs(g,ndata)
plot(b$Carapace_mm, b$Pleopod_mat, pch = 16, xlab = "Carapace Length (mm)", ylab = "Maturity")
lines(ndata$Carapace_mm, ndata$fit_resp)
lines(ndata$Carapace_mm, ndata$upr, lty=2)
lines(ndata$Carapace_mm, ndata$lwr,lty=2)
with(ndata,{
print(Carapace_mm[which.min(abs(fit_resp-.5))])
print(Carapace_mm[which.min(abs(upr-.5))])
print(Carapace_mm[which.min(abs(lwr-.5))])
})
text(55, 0.8,bquote(paste('L'['50']*' = ','97.6')))
m1 = formula(p~1/(1+(exp(a+(b*cl)))))
nls(m1,data=ndata,start=list(a=10,b=-.1))
########### TO LOOK at Residuals ##################
b$CL_residuals<-qresid(g)
ggplot(b, aes(x=Carapace_mm, y = CL_residuals, color = as.factor(LFA)))+
geom_point(size=3)
ggplot(b, aes(x=Carapace_mm, y = CL_residuals, color = as.factor(year)))+
geom_point(size=3)
ggplot(b, aes(x=Carapace_mm, y = CL_residuals, color = as.factor(mon)))+
geom_point(size=3)
ggplot(b, aes(x=Carapace_mm, y = CL_residuals, color = as.factor(Shell_hardness)))+
geom_point(size=3)
b31 = subset(b,LFA=='31')
pal =c("#75D7E8","#828289")
LF31a<-ggplot()+
geom_histogram(data=b31,aes(x=Carapace_mm, fill=as.character(Pleopod_mat), group=Pleopod_mat), alpha=0.6,position = 'identity', bins=50)+
geom_vline(xintercept=82.5, colour="#F02C2C", lty=2)+
geom_vline(xintercept=77.5, colour="blue", lty=3,lwd=0.8)+
xlab("Carapace Length (mm)")+
ylab("Count")+
scale_y_continuous(limits=c(0,90), expand = c(0, 0)) +
#scale_x_continuous(limits=c(40,160), expand = c(0, 0))+
scale_fill_manual(values=pal, labels = c("Immature", "Mature"), aes(fill ="Maturity Status"))+
facet_wrap(~year)+
theme_bw() +
theme(axis.line = element_line(colour = "black"),
text=element_text(size=15),
panel.grid.minor = element_blank(),
panel.background = element_blank())
LF31a<-LF31a+ geom_text()+ annotate("text", label="LFA 31A", x=55,y=78,size = 4, col="black")
b32 = subset(b,LFA=='32')
pal =c("#75D7E8","#828289")
LF32<-ggplot()+
geom_histogram(data=b32,aes(x=Carapace_mm, fill=as.character(Pleopod_mat), group=Pleopod_mat), alpha=0.6,position = 'identity',bins=50)+
geom_vline(xintercept=82.5, colour="#F02C2C", lty=2)+
geom_vline(xintercept=92.2, colour="blue", lty=3,lwd=0.8)+
xlab("Carapace Length (mm)")+
ylab("Count")+
scale_y_continuous(limits=c(0,60), expand = c(0, 0)) +
# scale_x_continuous(limits=c(0,170),expand = c(0, 0))+
scale_fill_manual(values=pal, labels = c("Immature", "Mature"), aes(fill ="Maturity Status"))+
facet_wrap(~year)+
theme_bw() +
theme(axis.line = element_line(colour = "black"),
text=element_text(size=15),
panel.grid.minor = element_blank(),
panel.background = element_blank())
LF32<-LF32+ geom_text()+ annotate("text", label="LFA 32", x=55,y=58,size = 4, col="black")
b33= subset(b,LFA=='33')
pal =c("#75D7E8","#828289")
LF33<-ggplot()+
geom_histogram(data=b33,aes(x=Carapace_mm, fill=as.character(Pleopod_mat), group=Pleopod_mat), alpha=0.6,position = 'identity',bins=50)+
geom_vline(xintercept=82.5, colour="#F02C2C", lty=2)+
geom_vline(xintercept=97.6, colour="blue", lty=3,lwd=0.8)+
xlab("Carapace Length (mm)")+
ylab("Count")+
scale_y_continuous(limits=c(0,80), expand = c(0, 0)) +
# scale_x_continuous(limits=c(0,170),expand = c(0, 0))+
scale_fill_manual(values=pal, labels = c("Immature", "Mature"), aes(fill ="Maturity Status"))+
facet_wrap(~year)+
theme_bw() +
theme(axis.line = element_line(colour = "black"),
text=element_text(size=15),
panel.grid.minor = element_blank(),
panel.background = element_blank())
LF33<-LF33+ geom_text()+ annotate("text", label="LFA 33", x=58,y=78,size = 4, col="black")
b34= subset(b,LFA=='34')
pal =c("#75D7E8","#828289")
LF34<-ggplot()+
geom_histogram(data=b34,aes(x=Carapace_mm, fill=as.character(Pleopod_mat), group=Pleopod_mat), alpha=0.6,position = 'identity',bins=60)+
geom_vline(xintercept=82.5, colour="#F02C2C", lty=2)+
geom_vline(xintercept=102, colour="blue", lty=3,lwd=0.8)+
xlab("Carapace Length (mm)")+
ylab("Count")+
scale_y_continuous(limits=c(0,200), expand = c(0, 0)) +
# scale_x_continuous(limits=c(0,170),expand = c(0, 0))+
scale_fill_manual(values=pal, labels = c("Immature", "Mature"), aes(fill ="Maturity Status"))+
facet_wrap(~year)+
theme_bw() +
theme(axis.line = element_line(colour = "black"),
text=element_text(size=15),
panel.grid.minor = element_blank(),
panel.background = element_blank())
LF34<-LF34+ geom_text()+ annotate("text", label="LFA 34", x=58,y=190,size = 4, col="black")
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