Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16767#discussion_r98969259
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -373,7 +373,7 @@ head(out, 3)
```
#### Apply by Group
-`gapply` can 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 `SparkDataFrames` column(s). The output of function
should be a `data.frame`. Schema specifies the row format of the resulting
`SparkDataFrame`. It must represent R functionâs output schema on the basis
of Spark data types. The column names of the returned `data.frame` are set by
user. See [here](#DataTypes) for mapping between R and Spark.
+`gapply` can 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 `SparkDataFrames` column(s). The output of function
should be a `data.frame`. Schema specifies the row format of the resulting
`SparkDataFrame`. It must represent R function???s output schema on the basis
of Spark data types. The column names of the returned `data.frame` are set by
user. See [here](#DataTypes) for mapping between R and Spark.
--- End diff --
I don't see any change here.
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