Added the R tidyverse to datascience-notebook

datascience-notebook/Dockerfile

@@ -33,13 +33,10 @@ RUN conda config --add channels r && \
     'r-irkernel=0.7*' \
     'r-plyr=1.8*' \
     'r-devtools=1.12*' \
-    'r-dplyr=0.5*' \
-    'r-ggplot2=2.2*' \
-    'r-tidyr=0.6*' \
+    'r-tidyverse=1.0*' \
     '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*' \

datascience-notebook/README.md

@@ -8,7 +8,8 @@
 * 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 v3.3.x and channel
-* plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
+* plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
+* The [tidyverse](https://github.com/tidyverse/tidyverse) R packages are also installed, including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and broom
 * Julia v0.5.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`
 * [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](../base-notebook/start-notebook.sh) as the default command