R for Data Science

Setting up a repository to get folks started with Data exploration in R

R for Data Science Book

The materials for this tutorial are extracted from the textbook, "R for Data Science" which can be found at the following link.

https://r4ds.had.co.nz/

Setting up your environment

Using Cheaha

1. Go to rc.uab.edu
2. log in
3. Click on Interactive Apps and then Click on Rstudio
4. Launch an instance of Rstudio try to use 2 hrs, an express partition, 1 CPU, and 1 GB of RAM
5. Run install.packages('tidyverse') in the Rstudio command prompt

Cloning the repository

Use the Job Composer at https://rc.uab.edu/pun/sys/myjobs/workflows

Create a new job from the default template Scroll down and click "Open Editor" Copy and paste the script below into over the current contents

#!/bin/bash
# JOB HEADERS HERE
mkdir -p /data/user/$USER/rc-dsc

FOLDER=/data/user/$USER/rc-dsc/r-for-data-science
URL=https://gitlab.rc.uab.edu/rc-data-science/r-for-data-science.git

if [ ! -d "$FOLDER" ] ; then
    git clone "$URL" "$FOLDER"
else
    cd $FOLDER
    git pull "$URL"
fi