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#' Find Common Words Between Groups
#'
#' Find common words between grouping variables (e.g., people).
#'
#' @param word.list A list of named character vectors.
#' @param overlap Minimum/exact amount of overlap.
#' @param equal.or A character vector of c(\code{"equal"}, \code{"greater"},
#' \code{"more"}, \code{"less"}).
#' @param \dots In lieu of \code{word.list} the user may input n number of
#' character vectors.
#' @return Returns a dataframe of all words that match the criteria set by
#' \code{overlap} and \code{equal.or}.
#' @export
## @examples
## a <- c("a", "cat", "dog", "the", "the")
## b <- c("corn", "a", "chicken", "the")
## d <- c("house", "feed", "a", "the", "chicken")
## common(a, b, d, overlap=2)
## common(a, b, d, overlap=3)
##
## r <- list(a, b, d)
## common(r)
## common(r, overlap=2)
##
## common(word_list(DATA$state, DATA$person)$cwl, overlap = 2)
common <-
function(word.list, overlap = "all", equal.or = "more", ...){
overlap
equal.or
UseMethod("common")
}
#' list Method for common
#'
#' @param word.list A list of names character vectors.
#' @param overlap Minimum/exact amount of overlap.
#' @param equal.or A character vector of c(\code{"equal"}, \code{"greater"},
#' \code{"more"}, \code{"less"}).
#' @param \dots In lieu of word.list the user may input n number of character
#' vectors.
#' @export
#' @method common list
common.list <-
function(word.list, overlap = "all", equal.or = "more", ...){
if(overlap=="all") {
OL <- length(word.list)
} else {
OL <- overlap
}
LIS <- sapply(word.list, unique)
DF <- as.data.frame(table(unlist(LIS)), stringsAsFactors = FALSE)
names(DF) <- c("word", "freq")
DF <- DF[order(-DF$freq, DF$word), ]
DF <- switch(equal.or,
equal = DF[DF$freq == OL, ],
greater = DF[DF$freq > (OL - 1), ],
more = DF[DF$freq > (OL - 1), ],
less = DF[DF$freq < (OL + 1), ])
if (nrow(DF) == 0) {
message(paste(overlap, "groups do not have any words in common."))
return(invisible(NULL))
}
rownames(DF) <- 1:nrow(DF)
return(DF)
}
#' @export
common.default <-
function(..., overlap = "all", equal.or = "more", word.list){
LIS <- list(...)
return(common.list(LIS, overlap, equal.or))
}
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