Step one done.

DOCKER_EXAMPLE.md

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+If you're looking to load COBOL data files into the R Project for Statistical Computing then you came to the right place.
+
+In this video we will demonstrate the open-source R COBOL Data Integration package running in Docker.
+
+The Dockerfile in this example is based on Rocker / RStudio and will be running locally on port 8787.
+
+Step 1.) Build the image (this can take up to 20 minutes).
+
+docker build -t rcoboldi/rocker-rstudio:1.0.1 https://raw.githubusercontent.com/thospfuller/rcoboldi/master/docker/rocker/rstudio/Dockerfile
+
+[some image id]
+
+![Build the Docker image from the R COBOL Data Integration package Dockerfile."](https://github.com/thospfuller/rcoboldi/tree/master/images/RCOBOLDI_StepOneBuildDockerImage.png "Build the Docker image from the R COBOL Data Integration package Dockerfile.")
+
+Step 2.) Launch a container based on this image.
+
+docker run -d -p 8787:8787 -e PASSWORD=password --name rstudio -i -t [some image id]
+
+[some container id]
+
+Step 3.) Browse to http://localhost:8787 and enter the username & password combination rstudio & password.
+
+The next three steps appear in the video.
+
+Step 4.) library(RCOBOLDI)
+
+Step 5.) RCOBOLDI::Initialize()
+
+Step 6.) result <- RCOBOLDI::ReadCopyBookAsDataFrame("DTAR020.cbl", "DTAR020.bin", "Fixed Length Binary", "cp037")
+
+Step 7.) head(result)