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
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- Column names
- Indices
- Boolean conditions
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- 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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