HMC Summer Dara Science REU 2018

R Bootcamp

Instructor: Jeho Park
Date: May 28-29, 2018

This R bootcamp is...

• about R's programming aspects.
  • It's designed to help you start using and coding R.
• not about Statistics.
  • I assume that you already have a basic knowledge of Statistics
• for your summer research and beyond.
  • This bootcamp materials are used to help you get up to speed on using R as quickly as possible for your research activites

R Bootcamp Day 1 Agenda

Day 1 Slides: http://rpubs.com/jepark/hmc-reu2018-r-day1

• Module 0: Introduction
  • About this bootcamp
  • Learning Objectives
  • About R
  • Getting ready (R environment setup)
• Module 1: The Basics of R
  • General Stuff
  • RStudio
  • R Data Structure (R Objects)
  • Basic graphics
• Module 2: Working with Data
  • (Almost) clean data (CSV files)
  • Data import and export (interactively)
  • Data cleaning
  • Subsetting
  • Matrix vs Data Frame
  • Graphics (base plots)
  • Simple graph manipulations (base plots)

R Bootcamp Day 2 Agenda

Day 2 Slides: http://rpubs.com/jepark/hmc-reu2018-r-day2

• Module 2: Working with Data (Part 2)
  • Graphics (base graphics)
  • Manipulating graphs (base graphics)
  • ggplot2 graphics
• Module 3: Managing R project
  • R workspace and working directory
  • Using R packages (installing, loading, namespaces)
  • Reproducible research: sharing R files and projects using Git/Github
• Module 4: tidyverse and dplyr package
  • Data wrangling
• Module 5: Programming (scripting) in R
  • Function
  • Loop (for loop)
  • Vectorization
  • If-else
  • Debugging
  • Good coding practices