anirudhacharya commented on a change in pull request #11590: [MXNET-627] Fix 
Installation instructions for R bindings on Linux systems.
URL: https://github.com/apache/incubator-mxnet/pull/11590#discussion_r201516454
 
 

 ##########
 File path: docs/install/index.md
 ##########
 @@ -939,133 +939,56 @@ pip install graphviz
 <div class="r">
 <div class="cpu">
 
-<br/>
-
-Building *MXNet* from source is a 2 step process.
-1. Build the *MXNet* core shared library, `libmxnet.so`, from the C++ sources.
-2. Build the language specific bindings.
-
-**Minimum Requirements**
-1. [GCC 4.8](https://gcc.gnu.org/gcc-4.8/) or later to compile C++ 11.
-2. [GNU Make](https://www.gnu.org/software/make/)
-
-<br/>
-
-**Build the MXNet core shared library**
-
-**Step 1** Install build tools and git.
-```bash
-$ sudo apt-get update
-$ sudo apt-get install -y build-essential git
-```
-
-**Step 2** Install OpenBLAS.
-
-*MXNet* uses 
[BLAS](https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms) and 
[LAPACK](https://en.wikipedia.org/wiki/LAPACK) libraries for accelerated 
numerical computations on CPU machine. There are several flavors of BLAS/LAPACK 
libraries - [OpenBLAS](http://www.openblas.net/), 
[ATLAS](http://math-atlas.sourceforge.net/) and 
[MKL](https://software.intel.com/en-us/intel-mkl). In this step we install 
OpenBLAS. You can choose to install ATLAS or MKL.
-```bash
-$ sudo apt-get install -y libopenblas-dev liblapack-dev
-```
-
-**Step 3** Install OpenCV.
-
-*MXNet* uses [OpenCV](http://opencv.org/) for efficient image loading and 
augmentation operations.
-```bash
-$ sudo apt-get install -y libopencv-dev
-```
-
-**Step 4** Download MXNet sources and build MXNet core shared library. You can 
clone the repository as described in the following code block, or you may try 
the <a href="download.html">download links</a> for your desired MXNet version.
-
-```bash
-$ git clone --recursive https://github.com/apache/incubator-mxnet
-$ cd incubator-mxnet
-$ make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas
-```
-
-*Note* - USE_OPENCV and USE_BLAS are make file flags to set compilation 
options to use OpenCV and BLAS library. You can explore and use more 
compilation options in `make/config.mk`.
-
-<br/>
-
-**Build and install the MXNet R binding**
+The default version of R that is installed with `apt-get` is insufficient. You 
will need to first [install R v3.4.4+ and build MXNet from 
source](ubuntu_setup.html#install-the-mxnet-package-for-r).
 
+After you have setup R v3.4.4+ and MXNet, you can build and install the MXNet 
R bindings with the following, assuming that `incubator-mxnet` is the source 
directory you used to build MXNet:
 
 ```bash
+$ cd incubator-mxnet/R-package
 
 Review comment:
   you run make rpkg from ``incubator-mxnet`` folder not 
``incubator-mxnet/R-package``

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