Add R 3.3 to Dockerfile

CHANGELOG.md

@@ -4,6 +4,14 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## Version 0.2
+
+### Added
+- R 3.3.3 to Dockerfile
+
+### Changed
+- switched from 'pip3 install' to 'python -m pip install' commands
+
 ## Version 0.1
 
 ### Added

Dockerfile

@@ -1,3 +1,4 @@
+#FROM arm32v7/ubuntu:bionic
 FROM arm32v7/debian:buster
 
 USER root
@@ -10,14 +11,22 @@ RUN apt-get update && apt-get -y install --no-install-recommends \
 	gfortran \
 	libatlas-base-dev \
 	libc-ares-dev \
+	libcurl4-openssl-dev \
+	libbz2-dev \
 	libeigen3-dev \
 	libffi-dev \
 	libfreetype6-dev \
+	libgit2-dev \
 	libhdf5-103 \
 	libhdf5-dev \
 	libhdf5-serial-dev \
+	liblzma-dev \
 	libopenmpi-dev \
 	libpng-dev \
+	libpcre3 \
+	libpcre3-dev \
+	libreadline-dev \
+	libxml2-dev \
 	openmpi-bin \
 	openssl \
 	python3 \
@@ -73,6 +82,23 @@ RUN sed -i "/c.NotebookApp.open_browser/c c.NotebookApp.open_browser = False" /r
 	&& sed -i "/c.NotebookApp.password/c c.NotebookApp.password = '`cat password`'" /root/.jupyter/jupyter_notebook_config.py \
 	&& rm -f password
 
+# Install R
+ENV R_VERSION 3.3.3
+ADD https://ftp.fau.de/cran/src/base/R-${R_VERSION:0:1}/R-${R_VERSION}.tar.gz .
+RUN apt-get remove r-base
+RUN tar -xvf R-${R_VERSION}.tar.gz \
+	&& rm R-${R_VERSION}.tar.gz \
+	&& cd R-${R_VERSION} \
+	&& ./configure --with-x=no --disable-java --with-pcre1 --prefix=/root/R \
+	&& make && make install \
+	&& cd .. \
+	&& rm -rf R-${R_VERSION} \
+	&& ln -s /root/R/bin/R /usr/bin/R \
+	&& ln -s /root/R/bin/Rscript /usr/bin/Rscript
+
+COPY ./install.R /root
+RUN Rscript /root/install.R
+
 # Add volume for notebooks
 VOLUME /root/notebooks
 

README.md

@@ -1,10 +1,11 @@
 # Machine Learning with JupyterLab on a Raspberry Pi
 
-![platform](https://img.shields.io/badge/platforms-RaspberryPi-silver)
-[![version](https://img.shields.io/badge/version-%200.1.0-blue)](https://github.com/smirko-dev/machine-learning-rpi/blob/main/CHANGELOG.md)
+![platform](https://img.shields.io/badge/platforms-linux/arm-silver)
+[![version](https://img.shields.io/badge/version-%200.2.0-blue)](https://github.com/smirko-dev/machine-learning-rpi/blob/main/CHANGELOG.md)
 [![](https://img.shields.io/badge/license-MIT-blue)](https://github.com/smirko-dev/machine-learning-rpi/blob/main/LICENSE)
 [![](https://img.shields.io/badge/dockerhub-smirko%2Fmachine--learning--rpi-blue?logo=docker)](https://hub.docker.com/r/smirko/machine-learning-rpi)
-![](https://img.shields.io/docker/pulls/smirko/machine-learning-rpi?logo=docker)
+[![](https://img.shields.io/docker/pulls/smirko/machine-learning-rpi?logo=docker)](https://hub.docker.com/r/smirko/machine-learning-rpi)
+[![](https://img.shields.io/docker/image-size/smirko/machine-learning-rpi/latest?logo=docker)](https://hub.docker.com/r/smirko/machine-learning-rpi)
 
 Run [Jupyter Lab](https://jupyter.org) with [Tensorflow](https://www.tensorflow.org) on a [Raspberry Pi](https://www.raspberrypi.org) as a service or within a docker container.
 
@@ -185,14 +186,14 @@ sudo apt-get install -y --no-install-recommends \
 ### Build and install binaries
 
 ```sh
-wget https://ftp.fau.de/cran/src/base/R-4/R-4.1.1.tar.gz
-tar -xvf R-4.1.1.tar.gz
-rm R-4.1.1.tar.gz
-cd R-4.1.1
+wget https://ftp.fau.de/cran/src/base/R-3/R-3.3.3.tar.gz
+tar -xvf R-3.3.3.tar.gz
+rm R-3.3.3.tar.gz
+cd R-3.3.3
 ./configure --with-x=no --disable-java --with-pcre1 --prefix=<r_home_directory>
 make && make install
 cd ..
-rm R-4.1.1
+rm R-3.3.3
 ```
 
 ### Create soft links
@@ -243,6 +244,7 @@ If the status command shows "active (running)" the Jupyter Lab should be reachab
 The docker container is based on [Debian Buster](https://hub.docker.com/r/arm32v7/debian/) for arm32v7 and installs
  - [TensorFlow](https://www.tensorflow.org/) from [tensorflow-on-arm](https://github.com/lhelontra/tensorflow-on-arm) or [tensorflow-arm-bin](https://github.com/bitsy-ai/tensorflow-arm-bin)
  - [NumPy](https://numpy.org/), [SciPy](https://www.scipy.org/), [Scikit-learn](https://scikit-learn.org/stable/index.html), [Matplotlib](https://matplotlib.org) and [Pandas](https://pandas.pydata.org/)
+ - [The R Project for Statistical Computing](https://www.r-project.org/)
  - [Tini](https://github.com/krallin/tini) which operates as a process subreaper for jupyter to prevent kernel crashes
  - [Jupyter Notebook](https://jupyter.org/) with [Jupyter Lab](https://jupyterlab.readthedocs.io/en/stable/) as a simple [notebook server](https://jupyter-notebook.readthedocs.io/en/stable/public_server.html) with password protection
 
@@ -251,6 +253,7 @@ The docker container is based on [Debian Buster](https://hub.docker.com/r/arm32v
 - JUPYTER_PASSWORD = jupyter
 - TINI_VERSION = 0.19.0 (used for build only)
 - TENSORFLOW_VERSION = 2.4.0 (used for build only)
+- R_VERSION = 3.3.3 (used for build only)
 
 ### Install packages
 

docker-compose.yml

@@ -9,6 +9,7 @@ services:
 #      - JUPYTER_PASSWORD=jupyter
 #      - TINI_VERSION=0.19.0
 #      - TENSORFLOW_VERSION=2.4.0
+#      - R_VERSION=3.3.3
     ports:
       - 8881:8888
     volumes:

install.R

@@ -0,0 +1,2 @@
+install.packages('IRkernel', repos='http://cran.rstudio.com/')
+IRkernel::installspec(name = 'ir', displayname = 'R 3.3')