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Series Introduction

  • The Unix Shell
    • Series Introduction
    • Installation and Resources
    • Introducing the Shell
    • The File System
    • Patterns, Filters, and Pipes
    • Variables and Loops
    • Bash Scripting

  • R Data Analysis and Visualization
    • Series Introduction
    • Installation and Resources
    • Introduction to R and RStudio
    • Starting with data
    • Manipulating, analyzing, and exporting data with tidyverse
    • Data visualization with ggplot2

On this page

  • Goals and Topics
  • Code of Conduct
  • Schedule
  • Citations

Series Introduction

Introduction to R for Data Analysis and Visualization

Learn how to use R for basic data analysis and visualization.
Author

Christopher Sifuentes

Goals and Topics

This series in intended to provide an (unexhaustive) introduction to the R language, R studio, and data analysis and visualization with R. Concepts introduced here can be built upon and combined with more advanced topics to perform complex analyses and visualizations.

Code of Conduct

We are dedicated to supporting a safe, productive, and harassment-free environment for everyone. Harassment includes offensive comments and behavior related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion, technology choices, sexual images, deliberate intimidation, stalking, or inappropriate or unwelcome sexual attention. All communication should be appropriate for a professional audience including people of many different backgrounds.

In general:

  • Be kind to others.
  • Be open, supportive, and constructive.
  • Do not insult or put down others.
  • Behave professionally.
  • Harassment and sexist, racist, or exclusionary jokes are not appropriate and will not be tolerated.

Thank you for helping make this a welcoming, friendly community for all.

Schedule

Session Lesson
Session 1 Introduction to R and RStudio
Session 2 Starting with Data
Session 3 Manipulating and Analyzing Data with Tidyverse
Session 4 Data Visualization with ggplot2

Citations

  1. Data Analysis and Visualization in R for Ecologists. https://datacarpentry.org/R-ecology-lesson/index.html
Installation and Resources
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