#size frequencies and sex ratios surveys
#restratified
require(bio.lobster)
p = bio.lobster::load.environment()
p$libs = NULL
fp = file.path(project.datadirectory('bio.lobster'),"analysis",'lfa41Assessment')
la()
#load_all('~/git/bio.survey/')
assessment.year = p$current.assessment.year ########### check the year ############### !!!!!!!!!!!
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:assessment.year)
p$length.based = T
p$by.sex = F
p$bootstrapped.ci=F
p$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$years.to.estimate),Y=p)
a = seq(20,200,1)
out = list()
for(i in 1:length(a)) {
p$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(fp,'LengthFrequenciesLFA41polygonSummerRV.rdata'))
#Done Aug 22 2017
#NEFSC spring
p$reweight.strata = F #this subsets
p$years.to.estimate = c(1969:assessment.year)
p$length.based = T
p$size.class= c(50,300)
p$by.sex = F
p$sex = c(1,2,3) # male female berried c(1,2,3)
p$bootstrapped.ci=F
p$strata.files.return=F
p$strata.efficiencies=F
p$clusters = c( rep( "localhost", 7) )
p = make.list(list(yrs=p$years.to.estimate),Y=p)
# restratified
p$season =c('spring')# p$series =c('spring');p$series =c('fall')
p$define.by.polygons = T
p$lobster.subunits=F
p$area = 'LFA41'
p$reweight.strata = T #this subsets
a = seq(20,200,1)
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$years.to.estimate))
save(aa,file=file.path(fp, 'LengthFrequenciesLFA41NEFSCspringrestratified.rdata'))
# fall
p$season =c('fall')# p$series =c('spring');p$series =c('fall')
p$years.to.estimate = c(1969:(assessment.year-1)) # -1 because update is in the Fall
p = make.list(list(yrs=p$years.to.estimate),Y=p)
a = seq(20,200,1)
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$years.to.estimate))
save(aa,file=file.path(fp,'LengthFrequenciesLFA41NEFSCfallrestratified.rdata'))
#DFO Georges
p$series =c('georges')# p$series =c('georges');p$series =c('fall')
p$define.by.polygons = F
p$lobster.subunits=F
p$years.to.estimate = c(2007:assessment.year)
p$length.based = T
p$by.sex = F
p$bootstrapped.ci=F
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)
p$define.by.polygons = F
p$lobster.subunits=F
p$area = 'Georges.Canada'
p$reweight.strata = F #this subsets
require(bio.groundfish)
a = seq(20,200,1)
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(fp,'LengthFrequenciesLFA41dfogeorges.rdata'))
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