GitHub - matloff/fasteR: Fast Lane to Learning R!.
Fast Lane to Learning R! Contribute to matloff/fasteR development by creating an account on GitHub.
Table of Contents
PART I
- Lesson 1: Getting Started
- Lesson 2: First R Steps
- Lesson 3: Vectors and Indices
- Lesson 4: More on Vectors
- Lesson 5: On to Data Frames!
- Lesson 6: The R Factor Class
- Lesson 7: Extracting Rows/Columns from Data Frames
- Lesson 8: More Examples of Extracting Rows, Columns
- Lesson 9: The tapply Function
- Lesson 10: Data Cleaning
- Lesson 11: The R List Class
- Lesson 12: Another Look at the Nile Data
- Lesson 13: Pause to Reflect
- Lesson 14: Introduction to Base R Graphics
- Lesson 15: More on Base Graphics
- Lesson 16: Writing Your Own Functions
- Lesson 17: ‘For’ Loops
- Lesson 18: Functions with Blocks
- Lesson 19: Text Editing and IDes
- Lesson 20: If, Else, Ifelse
- Lesson 21: Do Pro Athletes Keep Fit?
- Lesson 22: Linear Regression Analysis, I
- Lesson 23: S3 Classes
- Lesson 24: Baseball Player Analysis (cont’d.)
- Lesson 25: R Packages, CRAN, Etc.
PART II
- Lesson 26: A Pause, Before Going on to Advanced Topics
- Lesson 27: A First Look at ggplot2
- Lesson 28: Should You Use Functional Programming?
- Lesson 29 Simple Text Processing, I
- Lesson 30: Simple Text Processing, II
- Lesson 31: Linear Regression Analysis, II
- Lesson 32: Working with the R Date Class
- Lesson 33: Tips on R Coding Style and Strategy
- Lesson 34: The Logistic Model
- Lesson 35: Files and Directories
- Lesson 36: R ‘while’ Loops
- To Learn More
- Thanks
- Appendix: Installing and Using RStudio
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