Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/13751#discussion_r67604919
--- Diff: docs/sparkr.md ---
@@ -91,17 +86,17 @@ The following options can be set in `sparkEnvir` with
`sparkR.init` from RStudio
</div>
-## Creating DataFrames
-With a `SQLContext`, applications can create `DataFrame`s from a local R
data frame, from a [Hive table](sql-programming-guide.html#hive-tables), or
from other [data sources](sql-programming-guide.html#data-sources).
+## Creating SparkDataFrames
+With a `SparkSession`, applications can create `SparkDataFrame`s from a
local R data frame, from a [Hive
table](sql-programming-guide.html#hive-tables), or from other [data
sources](sql-programming-guide.html#data-sources).
### From local data frames
-The simplest way to create a data frame is to convert a local R data frame
into a SparkR DataFrame. Specifically we can use `createDataFrame` and pass in
the local R data frame to create a SparkR DataFrame. As an example, the
following creates a `DataFrame` based using the `faithful` dataset from R.
+The simplest way to create a data frame is to convert a local R data frame
into a SparkDataFrame. Specifically we can use `createDataFrame` and pass in
the local R data frame to create a SparkDataFrame. As an example, the
following creates a `SparkDataFrame` based using the `faithful` dataset from R.
--- End diff --
`create a SparkDataFrame` -> `create a SparkDataFrame`.
There are double space characters between `a` and `SparkDataFrame`.
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