R Basics: A Gentle Introduction

I designed this course for Sandia National Labs. It was designed for an audience with prior programming experience that understands basic concepts such as data types, conditional statements (e.g., if and case), loops, and functions.

It covers:

• basic R concepts and paradigms
• data types: vectors, arrays, strings, factors, lists, matrices, data.frames
• importing data into R using tidyverse packages (readr, readxls)
• tidyverse tibbles
• databases with dbplyr
• brief introduction to the use of select() and filter() to mimic SQL operations