Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/14090#discussion_r70711218 --- Diff: docs/sparkr.md --- @@ -312,7 +310,82 @@ head(ldf, 3) Apply a function to each group of a `SparkDataFrame`. The function is to be applied to each group of the `SparkDataFrame` and should have only two parameters: grouping key and R `data.frame` corresponding to that key. The groups are chosen from `SparkDataFrame`s column(s). The output of function should be a `data.frame`. Schema specifies the row format of the resulting -`SparkDataFrame`. It must match the R function's output. +`SparkDataFrame`. It must represent R function's output schema on the basis of Spark data types. The column names of each output field in the schema are set by user. Bellow data type mapping between R --- End diff -- `Bellow` should be `Below`?
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