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INTRODUCTION TO R PROGRAMMING

Learning Objectives

After completing this module, you will understand:

  • What R is and why we are using it
  • The basic data types in R
  • What a data frame is and why it is useful for analysis
  • How to index a data frame by row and column using
        • Column names
        • Indices
        • Boolean conditions
  • How to install and load packages from CRAN
  • How to read and write data to/from CSV
  • How to use the base R graphics

Course Curriculum

Basics
What is R? 00:03:00
Overview of RStudio 00:00:00
Benefits and Disadvantages 00:03:00
Interface, Functions, & Variables 00:04:00
Data Types & Atomic Classes 00:05:00
Exercise 00:05:00
Quiz 00:05:00
Vectors & Matrices
Basics of Vectors (Part 1) 00:04:00
Basics of Vectors (Part 2) 00:06:00
Basics of Matrices (Part 1) 00:05:00
Basics of Matrices (Part 2) 00:03:00
DataFrames & Lists
Data Frames 00:04:00
Working with Lists 00:03:00
Functions & Packages
Advanced Data Types 00:02:00
Missing Values 00:03:00
Installing Packages 00:05:00
Apply Functions 00:03:00
Reading & Writing Data
Reading & Writing Data 00:06:00
Control Instructions 00:04:00
Data Exploration & Alteration 00:03:00
Homework & Assessment
Final Quiz 00:05:00
Functions & Arguments 00:05:00
Try RStudio in Browser
Try Rstudio in Browser 00:00:00

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