Github user shivaram commented on a diff in the pull request:
https://github.com/apache/spark/pull/13760#discussion_r68268602
--- Diff: R/pkg/R/group.R ---
@@ -199,17 +199,10 @@ createMethods()
#' Applies a R function to each group in the input GroupedData
#'
#' @param x a GroupedData
-#' @param func A function to be applied to each group partition specified
by GroupedData.
-#' The function `func` takes as argument a key - grouping
columns and
-#' a data frame - a local R data.frame.
-#' The output of `func` is a local R data.frame.
-#' @param schema The schema of the resulting SparkDataFrame after the
function is applied.
-#' The schema must match to output of `func`. It has to be
defined for each
-#' output column with preferred output column name and
corresponding data type.
-#' @return a SparkDataFrame
#' @rdname gapply
#' @name gapply
#' @export
+#' @seealso \link{gapplyCollect}
#' @examples
#' \dontrun{
--- End diff --
I think its fine either way (to have the examples spread vs. not spread).
BTW the snippet pasted above looks pretty good to me.
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