Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13721#discussion_r67445014
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2884,3 +2884,38 @@ setMethod("write.jdbc",
write <- callJMethod(write, "mode", jmode)
invisible(callJMethod(write, "jdbc", url, tableName, jprops))
})
+
+#' randomSplit
+#'
+#' Return randomly split RDDs with the provided weights.
+#'
+#' @param x A SparkDataFrame
+#' @param weights a vector of weights for splits, will be normalized if
they don't sum to 1
+#' @param seed Randomness seed value
+#'
+#' @family SparkDataFrame functions
+#' @rdname randomSplit
+#' @name randomSplit
+#' @export
+#' @examples
+#'\dontrun{
+#' sc <- sparkR.init()
+#' sqlContext <- sparkRSQL.init(sc)
+#' df <- createDataFrame(data.frame(id = 1:1000))
+#' df_list <- randomSplit(df, c(2, 3, 5), 0)
+#' sapply(df_list, count)
+#'}
+setMethod("randomSplit",
+ signature(x = "SparkDataFrame", weights = "numeric"),
+ function(x, weights, seed) {
+ if (!all(sapply(weights, function(c) { c >= 0 }))) {
+ stop("all weight values should not be negative")
--- End diff --
ah ok, I misread that
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