R for Data Science
1 Get to be proficient with R
2 ggplot2
- 2.1 introduction to ggplot2 from Wickham and Grolemund' chapter 1
3 Advanced ggplot2
4 Data Transformation with dplyr
5 Exploratory Data Analysis
- 5.1 visualizing distributions
- 5.2 check covariation
6 Tidy Data with Tidyr
7 Relational Data with dyplyr
- 7.1 join
8 Factors with forcats
9 Dates and Times with lubridate
10 Functions
11 Vectors
References
Published with bookdown

R for Data Science

R for Data Science

Adapted from Hadley Wickham & Garrett Grolemund's R for Data Science

Shaoshuang Wen

University of South Carolina

https://wenshaoshuang.wordpress.com/

2021-03-01

Chapter 1 Get to be proficient with R

If you see any mistakes or have any suggestions, please do shoot me an email at wenshaoshuang@gmail.com.