Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8962#discussion_r41087208
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1873,3 +1872,29 @@ setMethod("as.data.frame",
collect(x)
}
)
+
+#' freqItems
+#'
+#' Finding frequent items for columns, possibly with false positives.
+#' Using the frequent element count algorithm described in
+#' \url{http://dx.doi.org/10.1145/762471.762473}, proposed by Karp,
Schenker, and Papadimitriou.
+#'
+#' @param col A list of columns to search frequent items in.
+#' @param support (Optional) The minimum frequency for an item to be
considered `frequent`.
+#' Should be greater than 1e-4. Default support = 0.01.
+#' @return a local R data.frame with the frequent items in each column
+#'
+#' @rdname freqItems
+#' @name freqItems
+#' @export
+#' @examples
+#' \dontrun{
+#' df <- jsonFile(sqlCtx, "/path/to/file.json")
+#' fi = freqItems(df, "title", "gender")
+#' }
+setMethod("freqItems", signature(x = "DataFrame"),
+ function(x, ..., support) {
--- End diff --
I think using vector for cols is more R stylish.
signature(x = "DataFrame", cols = "character", support = "numeric"),
function(x, cols, support = 0.01) {
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