Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14090#discussion_r70711116
--- Diff: docs/sparkr.md ---
@@ -263,7 +263,7 @@ In SparkR, we support several kinds of User-Defined
Functions:
##### dapply
Apply a function to each partition of a `SparkDataFrame`. The function to
be applied to each partition of the `SparkDataFrame`
and should have only one parameter, to which a `data.frame` corresponds to
each partition will be passed. The output of function
-should be a `data.frame`. Schema specifies the row format of the resulting
a `SparkDataFrame`. It must match the R function's output.
+should be a `data.frame`. Schema specifies the row format of the resulting
a `SparkDataFrame`. It must match to [data types of R function's output
fields](#data-type-mapping-between-r-and-spark).
--- End diff --
`output fields` --> `return values` or `return value`?
http://adv-r.had.co.nz/Functions.html#return-values
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