Get to know R; make a small data analysis library with dplyr; use ggvis with RMarkdown and shiny to make an interactive dashboard; reorganise code into a package with devtools.

• you need git
• you also need a C++ compiler (on Mac this means XCode command line tools, on windows and Linux probably Clang or a recent version of gcc)
• download and install R (make sure you get version >= 3.1.0)
• make a workshop directory $ mkdir rworkshop && cd rworkshop
• clone workshop package $ git clone https://github.com/leondutoit/rmeetupdemo.git into this directory
• you should have a directory structure like this rworkshop/rmeetupdemo
• install dependencies $ cd rmeetupdemo && chmod 755 ./dependencies.r && sudo ./dependencies.r && cd ..
• install rmeetupdemo: $ R -e "devtools::install('rmeetupdemo')"
• lastly, for serving the dashboard, download and install Rstudio IDE

You should be able to run this from the command line without failure: $ R -e "library(dplyr); library(rmeetupdemo); library(ggvis); d <- create_immigration_df()". Warnings are OK.

The HTML presentation used in the session can be viewed with this link. It is the rendered version of rmeetupdemo/tutorial.Rmd and includes example output from the interactive session.