Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/12836#discussion_r61708565
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1187,6 +1187,65 @@ setMethod("dapply",
dataFrame(sdf)
})
+#' gapply
+#'
+#' Apply a function to each group of a DataFrame.
+#'
+#' @param x A SparkDataFrame
+#' @param func A function to be applied to each group partition specified
by grouping
+#' column of the SparkDataFrame.
+#' The output of func is a data.frame.
+#' @param schema The schema of the resulting DataFrame after the function
is applied.
--- End diff --
Could you explain the differences among `data.frame`, `SparkDataFrame` and
`DataFrame`
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