Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5096#discussion_r27266139
--- Diff: R/README.md ---
@@ -0,0 +1,73 @@
+# R on Spark
+
+SparkR is an R package that provides a light-weight frontend to use Spark
from R.
+
+### SparkR development
+
+#### Build Spark
+
+Build Spark with
[Maven](http://spark.apache.org/docs/latest/building-spark.html#building-with-buildmvn)
and include the `-PsparkR` profile to build the R package. For example to use
the default Hadoop versions you can run
+```
+ build/mvn -DskipTests -Psparkr package
+```
+
+#### Running sparkR
+
+You can start using SparkR by launching the SparkR shell with
+
+ ./bin/sparkR
+
+The `sparkR` script automatically creates a SparkContext with Spark by
default in
+local mode. To specify the Spark master of a cluster for the automatically
created
+SparkContext, you can run
+
+ ./bin/sparkR --master "local[2]"
+
+To set other options like driver memory, executor memory etc. you can pass
in the
[spark-submit](http://spark.apache.org/docs/latest/submitting-applications.html)
arguments to `./bin/sparkR`
+
+#### Using SparkR from RStudio
+
+If you wish to use SparkR from RStudio or other R frontends you will need
to set some environment variables which point SparkR to your Spark
installation. For example
+```
+# Set this to where Spark is installed
+Sys.setenv(SPARK_HOME="/Users/shivaram/spark")
+# This line loads SparkR from the installed directory
+.libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
+library(SparkR)
+sc <- sparkR.init(master="local")
+```
+
+#### Making changes to SparkR
+
+The
[instructions](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark)
for making contributions to Spark also apply to SparkR.
--- End diff --
Post-merge, we can update the wiki to include R-specific instructions.
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