inst/Updates/LFA41/2023/2e.femalestratifiedSizeFrequencies.r

In LobsterScience/bio.lobster: Lobster Stock Assessment Tools for DFO Maritimes

#size frequencies females
require(bio.survey)
require(bio.lobster)
require(bio.groundfish)
p = bio.lobster::load.environment()
p$libs = NULL
fp = file.path(project.datadirectory('bio.lobster'),"analysis")
la()
#load_all('~/git/bio.survey/')


#by length for histograms
#DFO RV Analysis

      p$series =c('summer')# p$series =c('georges');p$series =c('fall')
      p$define.by.polygons = F
      p$lobster.subunits=F
      p$area = 'LFA41'
      p$years.to.estimate = c(1999:2015)
      p$length.based = F
      p$by.sex = T
      p$sex=c(2,3)
      p$bootstrapped.ci=T
      p$strata.files.return=F
      p$vessel.correction.fixed=1.2
      p$strat = NULL
      p$clusters = c( rep( "localhost", 7) )
      p$strata.efficiencies = F
      p = make.list(list(yrs=p$years.to.estimate),Y=p)

      

# DFO survey All stations including adjacent
      p$define.by.polygons = F
      p$lobster.subunits=F
      p$area = 'LFA41'
      p$reweight.strata = F #this subsets 
      p$length.based=T
      
      #full strata
        a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = dfo.rv.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41baseSummerRV.rdata  '))

#restratified
#        require(bio.lobster)
 #       p = bio.lobster::load.environment()
 #       p$libs = NULL
  #      fp = file.path(project.datadirectory('bio.lobster'),"analysis")


        p$series =c('summer')# p$series =c('georges');p$series =c('fall')
        p$define.by.polygons = T
        p$lobster.subunits=F
        p$area = 'LFA41'
        p$reweight.strata = T #this subsets 
        p$years.to.estimate = c(1999:2015)
        p$length.based = T
        p$by.sex = T
        p$sex=c(2,3)
      
        p$bootstrapped.ci=T
        p$strata.files.return=F
        p$vessel.correction.fixed=1.2
        p$strat = NULL
        p$clusters = c( rep( "localhost", 7) )
        p$strata.efficiencies = F
        p = make.list(list(yrs=p$years.to.estimate),Y=p)

        a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = dfo.rv.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41polygonSummerRV.rdata  '))

#adjacent
       # require(bio.lobster)
       # p = bio.lobster::load.environment()
       # p$libs = NULL
       # fp = file.path(project.datadirectory('bio.lobster'),"analysis")


        p$series =c('summer')# p$series =c('georges');p$series =c('fall')
        p$define.by.polygons = T
        p$lobster.subunits=F
        p$area = 'adjacentLFA41'
        p$reweight.strata = T #this subsets 
        p$years.to.estimate = c(1999:2015)
        p$length.based = T
        p$by.sex = T
        p$sex=c(2,3)
        p$bootstrapped.ci=T
        p$strata.files.return=F
        p$vessel.correction.fixed=1.2
        p$strat = NULL
        p$clusters = c( rep( "localhost", 7) )
        p$strata.efficiencies = F
        p = make.list(list(yrs=p$years.to.estimate),Y=p)

        a = seq(90,200)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = dfo.rv.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41adjacentpolygonSummerRV.rdata  '))


#NEFSC spring


      p$reweight.strata = F #this subsets 
      p$years.to.estimate = c(1969:2015)
      p$length.based = T
      p$size.class= c(50,300)
      p$by.sex = T
      p$sex = c(1,2) # male maturefemaleLength berried c(1,2,3)
      p$bootstrapped.ci=T
      p$strata.files.return=F
      p$strata.efficiencies=F
      p$clusters = c( rep( "localhost", 7) )
  
      

# Spring survey All stations including adjacent
                        p$season =c('spring')# p$series =c('spring');p$series =c('fall')
                        p$define.by.polygons = F
                        p$lobster.subunits=F
                        p$area = 'LFA41'
                      p = make.list(list(yrs=p$years.to.estimate),Y=p)
                    


   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCspringbase.rdata  '))

# restratified
    p$define.by.polygons = T
      p$lobster.subunits=F
      p$area = 'LFA41'
      p$reweight.strata = T #this subsets 
      
   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCspringrestratified.rdata  '))

# adjacent
    p$define.by.polygons = T
      p$lobster.subunits=F
      p$area = 'adjacentLFA41'
      p$reweight.strata = T #this subsets 
      
   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCspringadjrestratified.rdata  '))



# fall survey All stations including adjacent
                        p$season =c('fall')# p$series =c('spring');p$series =c('fall')
                        p$define.by.polygons = F
                        p$lobster.subunits=F
                        p$area = 'LFA41'
                      p = make.list(list(yrs=p$years.to.estimate),Y=p)
                    


   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCfallbase.rdata  '))

# restratified
    p$define.by.polygons = T
      p$lobster.subunits=F
      p$area = 'LFA41'
      p$reweight.strata = T #this subsets 
      
   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCfallrestratified.rdata  '))

# adjacent
    p$define.by.polygons = T
      p$lobster.subunits=F
      p$area = 'adjacentLFA41'
      p$reweight.strata = T #this subsets 
      
   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = nefsc.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41NEFSCfalladjrestratified.rdata  '))


#DFO Georges
      p$series =c('georges')# p$series =c('georges');p$series =c('fall')
      p$define.by.polygons = F
      p$lobster.subunits=F
      p$years.to.estimate = c(2007:2015)
      p$length.based = T
      p$by.sex = T
      p$sex=c(2,3)
      
      p$bootstrapped.ci=T
      p$strata.files.return=F
      p$vessel.correction.fixed=1.2
      p$strat = NULL
      p$clusters = c( rep( "localhost", 7) )
      p$strata.efficiencies = F
      p = make.list(list(yrs=p$years.to.estimate),Y=p)

      

# DFO survey All stations including adjacent
      p$define.by.polygons = F
      p$lobster.subunits=F
      p$area = 'Georges.Canada'
      p$reweight.strata = F #this subsets 
      

   	    a = seq(90,200,1)
        out = list()
        for(i in 1:length(a)) {
          p$size.class=c(a[i],a[i])
          out[[i]] = dfo.rv.analysis(DS='stratified.estimates.redo',p=p,save=F)
          }

        aa = do.call(rbind,out)
        aa$FLEN = rep(a,each=length(p$years.to.estimate))
        save(aa,file=file.path(project.datadirectory('bio.lobster'),'analysis','maturefemaleLengthFrequenciesLFA41dfogeorges.rdata  '))