Core Software

We will be primarily using R with the Tidyverse, and other R packages as needed. We will use Jupyter with IRkernel to interact with R.

Installation

We will be using Conda to manage R installations. It is the easiest way to install R, add-on modules, Jupyter, and get everything working together.

conda is a package manager for Python and other languages, and Miniconda is a base Conda installation. The larger 'Anaconda' suite contains Conda with a complete Python scientific computing environment; since we are using primarily R, Miniconda will let us save space. The underlying software is the same.

To install:

  1. Download and install a 64-bit Miniconda for your platform.

  2. Open a shell with Miniconda active (on Windows, opening a PowerShell terminal after installing Miniconda should be sufficient; on Linux or Mac, you may need to start a new terminal).

  3. Install R:

    $ conda install r r-tidyverse r-irkernel notebook
 For our purposes, it does not matter whether you use the Python 2.7 or Python 3 version of Miniconda, and either version can install the other in an ‘environment’. Python 2.7 is less likely to break other software on your system.

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