Upgrade to r-base 3.3.2

Remove pinning for plotting fix and upgrade other R packages

datascience-notebook/Dockerfile

@@ -26,26 +26,26 @@ RUN echo "deb http://ppa.launchpad.net/staticfloat/juliareleases/ubuntu trusty m
 USER $NB_USER
 
 # R packages including IRKernel which gets installed globally.
-# Pin r-base to a specific build number for https://github.com/jupyter/docker-stacks/issues/210#issuecomment-246081809
 RUN conda config --add channels r && \
     conda install --quiet --yes \
     'rpy2=2.8*' \
-    'r-base=3.3.1 1' \
+    'r-base=3.3.2' \
     'r-irkernel=0.7*' \
     'r-plyr=1.8*' \
-    'r-devtools=1.11*' \
-    'r-dplyr=0.4*' \
-    '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-devtools=1.12*' \
+    'r-dplyr=0.5*' \
+    'r-ggplot2=2.2*' \
+    'r-tidyr=0.6*' \
+    'r-shiny=0.14*' \
+    'r-rmarkdown=1.2*' \
+    'r-forecast=7.3*' \
+    'r-stringr=1.1*' \
+    'r-rsqlite=1.1*' \
     'r-reshape2=1.4*' \
     'r-nycflights13=0.2*' \
     'r-caret=6.0*' \
     'r-rcurl=1.95*' \
+    'r-crayon=1.3*' \
     'r-randomforest=4.6*' && conda clean -tipsy
 
 # Install IJulia packages as jovyan and then move the kernelspec out