R110: R for Research

Course duration: half day

Introduction to Project Management with RStudio, as well as DataFrames and Plotting in R.

About this course

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

This workshop is an introduction to data structures (DataFrames) and visualisation (using the ggplot2 package) in R. The targeted audience for this workshop is researchers who are already familiar with the basic concepts in programming such as loops, functions, and conditionals.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.

 

Learning Outcomes

  • Project Management with RStudio
  • Introduction to Data Structures in R
  • Introduction to DataFrames in R
  • Selecting values in DataFrames
  • Quick introduction to Plotting using the ggplot2 package

 

Prerequisites

Learn to Program: R or any of the Learn to Program: Python, Learn to Program: MATLAB or Learn to Program: Julia, needed to attend this course. If you already have some experience with programming, please check the topics covered in the Learn to Program: R course to ensure that you are familiar with the knowledge needed for this course.

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