diff --git a/all-spark-notebook/Dockerfile b/all-spark-notebook/Dockerfile
index 47d09589..0fc50717 100644
--- a/all-spark-notebook/Dockerfile
+++ b/all-spark-notebook/Dockerfile
@@ -20,12 +20,11 @@ RUN apt-get update && \
 USER $NB_USER
 
 # R packages
-# 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 \
-    'r-base=3.3.1 1' \
+    'r-base=3.3.2' \
     'r-irkernel=0.7*' \
-    'r-ggplot2=2.1*' \
+    'r-ggplot2=2.2*' \
     'r-rcurl=1.95*' && conda clean -tipsy
 
 # Apache Toree kernel
diff --git a/base-notebook/Dockerfile b/base-notebook/Dockerfile
index 6644de94..7dbf20be 100644
--- a/base-notebook/Dockerfile
+++ b/base-notebook/Dockerfile
@@ -66,10 +66,6 @@ RUN cd /tmp && \
     $CONDA_DIR/bin/conda config --system --set auto_update_conda false && \
     conda clean -tipsy
 
-# Temporary workaround for https://github.com/jupyter/docker-stacks/issues/210
-# Stick with jpeg 8 to avoid problems with R packages
-RUN echo "jpeg 8*" >> /opt/conda/conda-meta/pinned
-
 # Install Jupyter Notebook and Hub
 RUN conda install --quiet --yes \
     'notebook=4.3*' \
diff --git a/datascience-notebook/Dockerfile b/datascience-notebook/Dockerfile
index 4dd36688..dcf670f7 100644
--- a/datascience-notebook/Dockerfile
+++ b/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
diff --git a/r-notebook/Dockerfile b/r-notebook/Dockerfile
index ede7b9d5..8da75bcf 100644
--- a/r-notebook/Dockerfile
+++ b/r-notebook/Dockerfile
@@ -17,21 +17,20 @@ RUN apt-get update && \
 USER $NB_USER
 
 # R packages
-# 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 \
-    '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*' \