Added docker installation routine and instructions

.dockerignore

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+Dockerfile
+.gitignore
+.git
+.ipynb_checkpoints
+.DS_Store

Dockerfile

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+FROM rocker/shiny
+
+# Add application codebase
+ADD ./ /srv/shiny-server/anomaly_detection
+RUN chmod a+rwx -R /srv/shiny-server/anomaly_detection
+
+# Temporal fix for RStan package
+# http://discourse.mc-stan.org/t/error-when-installing-rstan-2-16-2/1730
+# https://github.com/stan-dev/rstan/wiki/Installing-RStan-on-Mac-or-Linux
+RUN echo "\nCXXFLAGS=-O3 -mtune=native -march=native -Wno-unused-variable -Wno-unused-function" >> /etc/R/Makeconf
+RUN echo "\nCXXFLAGS+=-DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION" >> /etc/R/Makeconf
+RUN echo "\nCPPFLAGS+=-DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION" >> /etc/R/Makeconf
+
+# Install additional Ubuntu packages
+RUN sudo apt-get update && sudo apt-get -y install libssl-dev
+
+# Install additional R packages
+RUN R -e "install.packages('DT')"
+RUN R -e "install.packages('shinyjs')"
+RUN R -e "install.packages('shinydashboard')"
+RUN R -e "install.packages('shinyBS')"
+RUN R -e "install.packages('hiny')"
+RUN R -e "install.packages('hinyBS')"
+RUN R -e "install.packages('hinydashboard')"
+RUN R -e "install.packages('dygraphs')"
+RUN R -e "install.packages('plotly')"
+RUN R -e "install.packages('smoother')"
+RUN R -e "install.packages('prophet')"
+RUN R -e "install.packages('Rssa')"
+RUN R -e "install.packages('tringr')"
+RUN R -e "install.packages('parallel')"

README.md

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 # Anomaly detection demo for AWS
 
 This repository contains code from the old anomaly detection project, transformed into R Shiny application with remote (AWS) deployment support.
+
+## Docker install ##
+
+1. Get application source code:
+```bash
+git clone https://github.com/SoftServeSAG/aws_anomaly_detection
+cd aws_anomaly_detection/
+```
+
+2. Build docker image:
+```bash
+docker build --rm --force-rm -t anomaly_detection .
+```
+
+3. Run docker image:
+```bash
+docker run --rm -p 3838:3838 anomaly_detection
+```
+
+4. Open your favorite browser and navigate to the `http://127.0.0.1:3838/anomaly_detection/`