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#' Hash Table/Dictionary Lookup
#'
#' These functions were originally contained in "qdapTools" version 1.3.4
#' \code{lookup} - \href{http://datatable.r-forge.r-project.org/}{\pkg{data.table}}
#' based hash table useful for large vector lookups.
#'
#' @param terms A vector of terms to undergo a lookup.
#' @param key.match Takes one of the following: (1) a two column data.frame of a
#' match key and reassignment column, (2) a named list of vectors (Note: if
#' data.frame or named list supplied no key reassign needed) or (3) a single
#' vector match key.
#' @param key.reassign A single reassignment vector supplied if key.match is
#' not a two column data.frame/named list.
#' @param missing Value to assign to terms not matching the key.match. If set
#' to \code{NULL} the original values in \code{terms} corresponding to the
#' missing elements are retained.
#' @return Outputs A new vector with reassigned values.
#' @author Tyler Rinker ('qdapTools' package version 1.3.4)
#' @export
# modified from lookup from qdapTools by Tyler Rinker
lookupQT <- function (terms, key.match, key.reassign = NULL, missing = NA) {
key.match <- data.frame(x=key.match[, 1], y=key.match[,2])
if (is.factor(key.match[, 2])) {
key.match[, 2] <- as.character(key.match[, 2])
FUN <- as.factor
} else {
FUN <- match.fun(paste0("as.", mode(key.match[, 2])))
}
output <- lookup_helperQT(terms, key.match, missing)
if(attributes(output)[["missing"]]) return(FUN(output))
out_warn <- tryCatch({
FUN(output)
}, warning = function(w) {
TRUE
}, finally = {
FALSE
})
if(length(out_warn) == 1 && !isTRUE(out_warn)) return(FUN(output))
attributes(output) <- NULL
output
}
#' @importFrom data.table setkey setDT
lookup_helperQT <- function(terms, key, missing = NA) {
x <- i.y <- NULL
terms <- data.frame(x=terms)
key <- data.table(key[c("x", "y")])
setDT(terms)
setkey(key, x)
out <- key[terms][[2]]
attributes(out) <- list(missing = TRUE)
if (!is.null(missing) && is.na(missing)) return(out)
if (!is.null(missing) && !is.na(missing)) {
hits <- which(is.na(out))
out[hits] <- missing
return(out)
}
if (is.null(missing)) {
hits <- which(is.na(out))
out[hits] <- terms[[1]][hits]
attributes(out) <- list(missing = FALSE)
return(out)
}
}
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