library(gulf.data)
# Find "new" files:
files <- locate(file = "^scs[0-9]+L")
# Load files:
r <- NULL
for (i in 1:length(files)){
print(files[i])
x <- read.csv(files[i], header = TRUE, stringsAsFactors = FALSE)
# Determine survey year:
year <- unique(x$year)
# Read tow data:
y <- read.scsset(year, valid = 1)
y$year <- year(y)
# Import tow IDs and dates:
if (year < 2019){
x$tow <- substr(x$tow.id, 3, 5)
y$tow <- substr(y$tow.id, 3, 5)
key <- c("year", "tow")
ix <- match(x[key], y[key])
x <- cbind(data.frame(date = y$date[ix], stringsAsFactors = FALSE), x)
x$tow.id <- y$tow.id[ix] # # Replace tow ID.
}else{
x$tow.id <- toupper(x$tow.id)
ix <- match(x[c("year", "tow.id")], y[c("year", "tow.id")])
x$date <- y$date[ix] # # Replace tow ID.
}
# Remove redundant data:
x <- x[-which(names(x) %in% c("year", "tow"))]
# Add missing variables:
if (i > 1) x[setdiff(names(r), names(x))] <- NA
# Append data:
r <- rbind(r, x)
}
# Substitute NA values:
r$comment[is.na(r$comment)] <- ""
# Write to "gulf.data":
path <- gsub("gulf.manage", "gulf.data", getwd())
path <- paste0(path, "/inst/extdata")
if (file.exists(path)){
years <- sort(unique(year(r)))
for (i in 1:length(years)){
file <- paste0(path, "/", "scs.len.", years[i], ".csv")
write.csv(r[which(year(r) == years[i]), ], file = file, row.names = FALSE)
}
}
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