library(gulf.data)
year <- 2020
# Regular survey measurements:
x <- read.csv(paste0("inst/extdata/raw/scs.len.", year, ".csv"), header = TRUE, stringsAsFactors = FALSE)
names(x) <- tolower(names(x))
x$tow.id <- toupper(x$gpnum)
# Date correction:
x$datetime <- gsub("1970-01-03", "2020-07-13", x$datetime)
# Parse data and time:
x$date <- unlist(lapply(strsplit(x$datetime, " "), function(x) x[1]))
x$time <- unlist(lapply(strsplit(x$datetime, " "), function(x) x[2]))
# Parse measurement field:
x$length.unit <- gsub("[0-9.]", "", x$measurement)
x$length <- as.numeric(gsub("m", "", x$measurement))
# Define length precision:
x$length.precision <- 1
# Remove irrelevant fields:
vars <- c("date", "time", "tow.id", "species", "length", "length.unit", "length.precision")
x <- x[vars]
# Corrections:
x$length.unit[x$length.unit == ""] <- "mm"
# Write to file:
write.table(x, file = paste0("data/by-catch/scs.len.", year, ".csv"), sep = ",", row.names = FALSE)
# Write to gulf.data repository:
tmp <- unlist(lapply(strsplit(getwd(), "/"), function(x) x[length(x)]))
path <- paste0(gsub(tmp, "", getwd()), "gulf.data/inst/extdata")
if (file.exists(path)){
file <- paste0(path, "/", "scs.len.", year, ".csv")
write.csv(x, file = file, row.names = FALSE)
}
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