Merge pull request #238 from poplav/bump_r_version

Update R version to 3.3* in r-notebook and datascience-notebook

datascience-notebook/Dockerfile

@@ -26,21 +26,21 @@ USER $NB_USER
 # R packages including IRKernel which gets installed globally.
 RUN conda config --add channels r && \
     conda install --quiet --yes \
-    'rpy2=2.7*' \
-    'r-base=3.2*' \
-    'r-irkernel=0.5*' \
+    'rpy2=2.8*' \
+    'r-base=3.3*' \
+    'r-irkernel=0.6*' \
     'r-plyr=1.8*' \
-    'r-devtools=1.9*' \
+    'r-devtools=1.11*' \
     'r-dplyr=0.4*' \
-    'r-ggplot2=1.0*' \
-    'r-tidyr=0.3*' \
-    'r-shiny=0.12*' \
-    'r-rmarkdown=0.8*' \
-    'r-forecast=5.8*' \
-    'r-stringr=0.6*' \
+    'r-ggplot2=2.1*' \
+    'r-tidyr=0.5*' \
+    'r-shiny=0.13*' \
+    'r-rmarkdown=0.9*' \
+    'r-forecast=7.1*' \
+    'r-stringr=1.0*' \
     'r-rsqlite=1.0*' \
     'r-reshape2=1.4*' \
-    'r-nycflights13=0.1*' \
+    'r-nycflights13=0.2*' \
     'r-caret=6.0*' \
     'r-rcurl=1.95*' \
     'r-randomforest=4.6*' && conda clean -tipsy

datascience-notebook/README.md

@@ -7,7 +7,7 @@
 * Jupyter Notebook 4.2.x
 * Conda Python 3.x and Python 2.7.x environments
 * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
-* Conda R v3.2.x and channel
+* Conda R v3.3.x and channel
 * plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
 * Julia v0.3.x with Gadfly, RDatasets and HDF5 pre-installed
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`

r-notebook/Dockerfile

@@ -19,20 +19,20 @@ USER $NB_USER
 # R packages
 RUN conda config --add channels r && \
     conda install --quiet --yes \
-    'r-base=3.2*' \
-    'r-irkernel=0.5*' \
+    'r-base=3.3*' \
+    'r-irkernel=0.6*' \
     'r-plyr=1.8*' \
-    'r-devtools=1.9*' \
+    'r-devtools=1.11*' \
     'r-dplyr=0.4*' \
-    'r-ggplot2=1.0*' \
-    'r-tidyr=0.3*' \
-    'r-shiny=0.12*' \
-    'r-rmarkdown=0.8*' \
-    'r-forecast=5.8*' \
-    'r-stringr=0.6*' \
+    'r-ggplot2=2.1*' \
+    'r-tidyr=0.5*' \
+    'r-shiny=0.13*' \
+    'r-rmarkdown=0.9*' \
+    'r-forecast=7.1*' \
+    'r-stringr=1.0*' \
     'r-rsqlite=1.0*' \
     'r-reshape2=1.4*' \
-    'r-nycflights13=0.1*' \
+    'r-nycflights13=0.2*' \
     'r-caret=6.0*' \
     'r-rcurl=1.95*' \
     'r-randomforest=4.6*' && conda clean -tipsy

r-notebook/README.md

@@ -5,7 +5,7 @@
 ## What it Gives You
 
 * Jupyter Notebook 4.2.x
-* Conda R v3.2.x and channel
+* Conda R v3.3.x and channel
 * plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
 * [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](../minimal-notebook/start-notebook.sh) as the default command