Contribute to fplmelo/Intro-to-R-Harvard development by creating an account on GitHub.
This session is based around chapter 5 of the book R 4 Data Science. It is important that you work through the chapter completely to understand all of the important concepts (both those covered in the ...
In this short course we will provide a basic introduction to R. Topics will include loading, cleaning, visualizing and performing basic analysis on data. The first portion of the course will focus on ...
So, you’re new to programming. Or maybe you’re a novice user of another programming language. Either way, you’ve come to the right place. In this course, you’ll acquire the skills and competencies to ...
R is a powerful open-source statistics platform and programming language widely used in many disciplines. The R community has produced thousands of packages (add-ons) that expand its capabilities and ...
R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides introduction to R programming basics, such as data ...
In this workshop, you will learn the principles of performing tidy text analysis in R. You will learn how to wrangle unstructured text into a tidy data structure, basic data visualizations, and basic ...