[MINOR][R][DOC] Fix R documentation generation instruction.

## What changes were proposed in this pull request?
changes in R/README.md

- Make step of generating SparkR document more clear.
- link R/DOCUMENTATION.md from R/README.md
- turn on some code syntax highlight in R/README.md

## How was this patch tested?
local test

Author: Kai Jiang <jiangkai@gmail.com>

Closes #13488 from vectorijk/R-Readme.

1 files changed, 14 insertions, 16 deletions

diff --git a/R/README.md b/R/README.md
index 044f95312a..932d5272d0 100644
--- a/R/README.md
+++ b/R/README.md
@@ -7,8 +7,7 @@ SparkR is an R package that provides a light-weight frontend to use Spark from R
 Libraries of sparkR need to be created in `$SPARK_HOME/R/lib`. This can be done by running the script `$SPARK_HOME/R/install-dev.sh`.
 By default the above script uses the system wide installation of R. However, this can be changed to any user installed location of R by setting the environment variable `R_HOME` the full path of the base directory where R is installed, before running install-dev.sh script.
 Example: 
-
-```
+```bash
 # where /home/username/R is where R is installed and /home/username/R/bin contains the files R and RScript
 export R_HOME=/home/username/R
 ./install-dev.sh
@@ -20,8 +19,8 @@ export R_HOME=/home/username/R
 
 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
+```bash
+build/mvn -DskipTests -Psparkr package
 ```
 
 #### Running sparkR
@@ -40,9 +39,8 @@ To set other options like driver memory, executor memory etc. you can pass in th
 
 #### 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 
-
-```
+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
+```R
 # Set this to where Spark is installed
 Sys.setenv(SPARK_HOME="/Users/username/spark")
 # This line loads SparkR from the installed directory
@@ -59,25 +57,25 @@ Once you have made your changes, please include unit tests for them and run exis
     
 #### Generating documentation
 
-The SparkR documentation (Rd files and HTML files) are not a part of the source repository. To generate them you can run the script `R/create-docs.sh`. This script uses `devtools` and `knitr` to generate the docs and these packages need to be installed on the machine before using the script.
+The SparkR documentation (Rd files and HTML files) are not a part of the source repository. To generate them you can run the script `R/create-docs.sh`. This script uses `devtools` and `knitr` to generate the docs and these packages need to be installed on the machine before using the script. Also, you may need to install these [prerequisites](https://github.com/apache/spark/tree/master/docs#prerequisites). See also, `R/DOCUMENTATION.md`
     
 ### Examples, Unit tests
 
 SparkR comes with several sample programs in the `examples/src/main/r` directory.
 To run one of them, use `./bin/spark-submit <filename> <args>`. For example:
-
-    ./bin/spark-submit examples/src/main/r/dataframe.R
-
+```bash
+./bin/spark-submit examples/src/main/r/dataframe.R
+```
 You can also run the unit tests for SparkR by running. You need to install the [testthat](http://cran.r-project.org/web/packages/testthat/index.html) package first:
-
-    R -e 'install.packages("testthat", repos="http://cran.us.r-project.org")'
-    ./R/run-tests.sh
+```bash
+R -e 'install.packages("testthat", repos="http://cran.us.r-project.org")'
+./R/run-tests.sh
+```
 
 ### Running on YARN
 
 The `./bin/spark-submit` can also be used to submit jobs to YARN clusters. You will need to set YARN conf dir before doing so. For example on CDH you can run
-
-```
+```bash
 export YARN_CONF_DIR=/etc/hadoop/conf
 ./bin/spark-submit --master yarn examples/src/main/r/dataframe.R
 ```