Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13798#discussion_r67813477
--- Diff: R/pkg/R/DataFrame.R ---
@@ -606,10 +607,10 @@ setMethod("unpersist",
#'
#' The following options for repartition are possible:
#' \itemize{
-#' \item{"Option 1"} {Return a new SparkDataFrame partitioned by
+#' \item{1.} {Return a new SparkDataFrame partitioned by
#' the given columns into `numPartitions`.}
-#' \item{"Option 2"} {Return a new SparkDataFrame that has exactly
`numPartitions`.}
-#' \item{"Option 3"} {Return a new SparkDataFrame partitioned by the
given column(s),
+#' \item{2.} {Return a new SparkDataFrame that has exactly
`numPartitions`.}
+#' \item{3.} {Return a new SparkDataFrame partitioned by the given
column(s),
#' using `spark.sql.shuffle.partitions` as number of
partitions.}
--- End diff --
For the ordered itemize, what about the following?
```
#' \enumerate{
#' \item Return a new SparkDataFrame partitioned by the given columns into
`numPartitions`.
#' \item Return a new SparkDataFrame that has exactly `numPartitions`.
#' \item Return a new SparkDataFrame partitioned by the given column(s),
#' using `spark.sql.shuffle.partitions` as number of
partitions.
#' }
```
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
