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###########################################################################################################################
# RoME: R code to perform multiple checks on MEDITS Survey data (TA, TB, TC and TE files - old and new MEDITS formats) #
# Authors: I. Bitetto, W. Zupa, M.T. Spedicato #
# Coispa Tecnologia & Ricerca - Stazione sperimentale per lo Studio delle Risorse del Mare #
# If you have any comments or suggestions please contact the following e-mail address: bitetto@coispa.it #
# March 2020
################################################################################
# Check if the stratum code in TA (or TT) is consistent with the stratification code table
check_stratum_code <- function (ResultDataTA,year,Strata=RoME::stratification_scheme,wd,suffix){
# stratification_scheme=Strata
Format="from_2012"
if (!file.exists(file.path(wd, "Logfiles"))){
dir.create(file.path(wd, "Logfiles"), recursive = TRUE, showWarnings = FALSE)
}
if (!exists("suffix")){
suffix=paste(as.character(Sys.Date()),format(Sys.time(), "_time_h%Hm%Ms%OS0"),sep="")
}
numberError = 0
Errors <- file.path(wd,"Logfiles",paste("Logfile_",suffix,".dat",sep=""))
if (!file.exists(Errors)){
file.create(Errors)
}
### FILTERING DATA FOR THE SELECTED YEAR
arg <- "year"
if (!exists(arg)) {
stop(paste0("'", arg, "' argument should be provided"))
} else if (length(year) != 1) {
stop(paste0("only one value should be provided for '", arg, "' argument"))
} else if (is.na(year)) {
stop(paste0(arg, " argument should be a numeric value"))
}
ResultDataTA <- ResultDataTA[ResultDataTA$YEAR == year, ]
########################################
ResultDataTA <- ResultDataTA[!is.na(ResultDataTA$AREA), ]
Dataset = ResultDataTA #read.csv(paste(DataTA,".csv",sep=""), sep=";",header=TRUE)
write(paste("\n----------- check correctness of stratum code - ",Dataset$YEAR[1]), file = Errors, append = TRUE)
Strat_table = Strata
Strat_table = Strat_table[Strat_table$GSA== Dataset$AREA[1],] # selection of the area
strata.no.letter <- Strat_table
strata.no.letter$STRATUM <- as.character(strata.no.letter$STRATUM)
for (n in 1:nrow(Strat_table)){
strata.no.letter$STRATUM[n] <- substr( strata.no.letter$STRATUM[n] , 1 , (nchar(strata.no.letter$STRATUM[n])-1) )
}
mean_depth = rowMeans(cbind(Dataset$SHOOTING_DEPTH,Dataset$HAULING_DEPTH), na.rm = TRUE)
i=1
for (i in 1:nrow(Dataset))
{
row <- Dataset[i,]
country <- row$COUNTRY
gsa <- row$AREA
depth <- mean_depth[i]
stratum <- row$NUMBER_OF_THE_STRATUM
tab <- Strat_table[Strat_table$GSA ==gsa & Strat_table$COUNTRY==country, ]
if (!stratum %in% tab$STRATUM | nrow(tab)== 0) {
numberError = numberError+1
write(paste("Warning: Haul ",Dataset$HAUL_NUMBER[i],", wrong stratum code (",Dataset$NUMBER_OF_THE_STRATUM[i],"), check the most recent version of MEDITS codes"), file = Errors, append = TRUE)
} else {
row2 <- tab[which(stratum == tab$STRATUM), ]
if (!is.na(depth)){
if (!((depth > row2$MIN_DEPTH) & (depth <= row2$MAX_DEPTH))) {
write(paste("Warning: Haul ",row$HAUL_NUMBER[1],", stratum code (",row$NUMBER_OF_THE_STRATUM[1],") not consistent with the mean detph of the haul"), file = Errors, append = TRUE)
}
} else {
write(paste("Warning: Haul ",row$HAUL_NUMBER[1],", not numeric mean depth"), file = Errors, append = TRUE)
}
}
}
if (numberError ==0) {
write(paste("No error occurred"), file = Errors, append = TRUE)
}
# if (file.exists(file.path(tempdir(), "Logfiles"))){
# unlink(file.path(tempdir(),"Logfiles"),recursive=T)
# }
# if (file.exists(file.path(tempdir(), "Graphs"))){
# unlink(file.path(tempdir(),"Graphs"),recursive=T)
# }
# if (file.exists(file.path(tempdir(), "files R-Sufi"))){
# unlink(file.path(tempdir(),"files R-Sufi"),recursive=T)
# }
return(TRUE)
}
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