Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14082#discussion_r70001842
--- Diff: docs/sql-programming-guide.md ---
@@ -343,50 +336,8 @@ In addition to simple column references and
expressions, DataFrames also have a
</div>
<div data-lang="r" markdown="1">
-{% highlight r %}
-# Create the DataFrame
-df <- read.json("examples/src/main/resources/people.json")
-
-# Show the content of the DataFrame
-showDF(df)
-## age name
-## null Michael
-## 30 Andy
-## 19 Justin
-
-# Print the schema in a tree format
-printSchema(df)
-## root
-## |-- age: long (nullable = true)
-## |-- name: string (nullable = true)
-# Select only the "name" column
-showDF(select(df, "name"))
-## name
-## Michael
-## Andy
-## Justin
-
-# Select everybody, but increment the age by 1
-showDF(select(df, df$name, df$age + 1))
-## name (age + 1)
-## Michael null
-## Andy 31
-## Justin 20
-
-# Select people older than 21
-showDF(where(df, df$age > 21))
-## age name
-## 30 Andy
-
-# Count people by age
-showDF(count(groupBy(df, "age")))
-## age count
-## null 1
-## 19 1
-## 30 1
-
-{% endhighlight %}
+{% include_example untyped_transformations r/RSparkSQLExample.R %}
--- End diff --
this is just internal stuff, but "untyped_transformations" is a bit odd?
shouldn't we call this "dataframe_operations" or something?
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