library(xlsx)
quarter = 3
species = "Pollachius virens"
n=100
yearStart = 1992
yearStop = 2018
minAge = 0
maxAge = 10
ageIntervall = seq(minAge,maxAge,by = 1)
yearIntervall = seq(yearStart,yearStop,by = 1)
estimatesMean = matrix(-1,length(ageIntervall),length(yearIntervall) )
estimatesSD = estimatesMean
counterYear = 1
for(year in yearStart:yearStop){
dat = readIBTSData(survey = "NS-IBTS", year = year, quarter = quarter,species = species)
# dat$weightStatRec$Weight = rep(1,dim(dat$weightStatRec)[1])
#-------------------
#Calculates CPUEs on age-level in the whole North Sea---------
bootstrapProcedure = "stratifiedHLdatrasCA"
ALKprocedure = "datras"
set.seed(131455)
mCPUEStratifiedHL = CPUEnorthSea(species = species, year = year, quarter = quarter,dat = dat,
bootstrapProcedure = bootstrapProcedure, B = n, ALKprocedure = ALKprocedure)
estimatesMean[,counterYear] = mCPUEStratifiedHL$mCPUE
estimatesSD[,counterYear] = mCPUEStratifiedHL$sd
counterYear = counterYear+1
print(year)
}
estimatesMean = as.data.frame(estimatesMean)
estimatesSD = as.data.frame(estimatesSD)
names(estimatesMean) = seq(yearStart,yearStop,by = 1)
names(estimatesSD) = seq(yearStart,yearStop,by = 1)
rownames(estimatesMean) = seq(minAge,maxAge)
rownames(estimatesSD) = seq(minAge,maxAge)
write.xlsx(estimatesMean, "meanToJenniferWithWeights.xlsx")
write.xlsx(estimatesSD, "sdToJenniferWithWeights.xlsx")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.