Draft Tutorial for self directed bootcamp for learning R-programming basics.
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module1
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module3
module4
module5
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R-Programming-Bootcamp-syllabus.docx
README.md
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README.md

R-bootcamp

DOI

Self-directed bootcamp for learning R-programming basics. To get started, clone or download this repo, and follow the directions in welcome.pdf.

Written by Ted Laderas with contributions from: Eric Leung, Aurora Blucher, Tracy Edinger, Dian Chase, Gabrielle Choonoo, Clint Olson, and Joshua Meyer

Each folder contains a different module. Each folder contains a file, ex. "module1.R" that is meant to be loaded as a script into an IDE such as RStudio. By working through the script, basic concepts of R and its data structures are taught.

Bootcamp Overview

The content of each module is as follows:

  1. Getting Help, Loading, Saving, Data QC, Scripting
  2. Vectors, Data Frames, Subsetting, Filtering and Ordering
  3. Matrices, Iterating, Applying, Deciding and Lists
  4. Merging, Visualizing, Functions and Scope
  5. Databases, Packages, and Beyond.

Module Overview

Each folder contains the following files:

  1. moduleX.Rmd - The Markdown script you'll be working from.
  2. moduleX.RData - workspace consisting of data to manipulate
  3. moduleX-test-your-knowledge.R - Multiple Choice Quiz to test your knowledge
  4. moduleX-final-problem.R - Final assignment