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From: felixcheung <git@git.apache.org>
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Subject: [GitHub] spark pull request: [SPARK-12919][SPARKR] Implement dapply()
 on Da...
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Message-Id: <20160422004726.D9C02DFE04@git1-us-west.apache.org>
Date: Fri, 22 Apr 2016 00:47:26 +0000 (UTC)

Github user felixcheung commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12493#discussion_r60677343
  
    --- Diff: R/pkg/R/DataFrame.R ---
    @@ -1137,11 +1137,22 @@ setMethod("summarize",
     #' @rdname dapply
     #' @name dapply
     #' @export
    +#' @examples
    +#' \dontrun{
    +#'   df <- createDataFrame (sqlContext, mtcars)
    +#'   df1 <- dapply(df, function(x) { x }, schema(df))
    --- End diff --
    
    could we have an more elaborate example to explain how `func` should expect or handle "each partition of the DataFrame"?


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