# ECOLEX References Preparation Script
# This is a template for importing, cleaning, and exporting data
# for the 'many' packages.
# Stage one: Collecting data
load("data-raw/references/ECOLEX_REF/ecorefer.RData")
# Stage two: Correcting data
# In this stage you will want to correct the variable names and
# formats of the 'REF' object until the object created
# below (in stage three) passes all the tests.
ECOLEX_REF <- purrr::discard(eco_refer, function(x) length(x) == 1) %>%
purrr::map(function(x) {
treatyrefs <- grepl("^TRE", x)
index <- x[1]
if (sum(!treatyrefs) == 1) {paste(index, x[2], x[3:length(x)], sep = "_")}
else {
reftypes <- which(!treatyrefs)
k <- vector()
for (i in reftypes) {
j <- ifelse(i == max(reftypes),
length(treatyrefs),
reftypes[which(reftypes == i) + 1] - 1)
k <- c(k, paste(index, x[i], x[(i + 1):j], sep = "_"))
}
k
}
}) %>%
unlist() %>%
stringr::str_split("_")
ECOLEX_REF <- as_tibble(t(do.call(cbind, ECOLEX_REF)))
colnames(ECOLEX_REF) <- c("Treaty1", "RefType", "Treaty2")
ECOLEX_REF
# Replace ECOLEX_ID by treatyID
ecoid <- manyenviron::agreements$ECOLEX
ecoid <- ecoid %>%
dplyr::select(ecolexID, manyID)
ECOLEX_REF <- dplyr::left_join(ECOLEX_REF,
ecoid,
by = c("Treaty1" = "ecolexID")) %>%
dplyr::rename(treatyID1 = "manyID")
ECOLEX_REF <- dplyr::left_join(ECOLEX_REF,
ecoid,
by = c("Treaty2" = "ecolexID")) %>%
dplyr::rename(treatyID2 = "manyID") %>%
dplyr::select(treatyID1, treatyID2, RefType)
ECOLEX_REF
# manypkgs includes several functions that should help cleaning
# and standardising your data.
# Please see the vignettes or website for more details.
# Stage three: Connecting data
# Next run the following line to make ref available
# within the package.
manypkgs::export_data(ECOLEX_REF,
datacube = "references",
URL = "NA")
# This function also does two additional things.
# First, it creates a set of tests for this object to ensure
# adherence to certain standards. You can hit Cmd-Shift-T (Mac)
# or Ctrl-Shift-T (Windows) to run these tests locally at any point.
# Any test failures should be pretty self-explanatory and may require
# you to return to stage two and further clean, standardise, or wrangle
# your data into the expected format.
# Second, it also creates a documentation file for you to fill in.
# Please make sure that you cite any sources appropriately and fill
#in as much detail about the variables etc as possible.
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