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The Basics of R (for Ecologists)
1 Welcome to the course!
Welcome video (1:32)
Download the course materials
2 Introduction to R and RStudio
Installing R and RStudio (6:00)
Intro to R and RStudio (19:41)
RStudio tweaks (4:04)
3 Vectors and Dataframes
Basics of variables and vectors (9:24)
Creating and indexing vectors (14:43)
Vectors: naming, modifying, and more indexing (11:11)
Other useful functions for vectors (11:37)
Custom functions and getting help (6:27)
Indexing dataframes (25:09)
Modifying dataframes (11:09)
Vector and Dataframe EXERCISES (5:26)
Vector and Dataframe EXERCISE SOLUTIONS (17:26)
4 Uploading Data
How to upload data (15:48)
Uploading Data EXERCISES (1:08)
Uploading Data EXERCISE SOLUTIONS (2:16)
5 Basic Data Visualization
Scatterplots and boxplots (16:40)
Jittered points and lineplots (14:15)
Customizing figures (26:43)
Text, margins, and saving figures (21:06)
Basic Data Visualization EXERCISES (2:49)
Basic Data Visualization EXERCISE SOLUTIONS (9:32)
6 Data Wrangling 101
Quick Feedback
Tibbles: the better dataframe (18:42)
Mutating data (25:10)
The pipe operator (13:56)
The split-apply-combine procedure (14:33)
Data Wrangling 101 EXERCISES (4:09)
Data Wrangling 101 EXERCISE SOLUTIONS (12:37)
7 Advanced Data Wrangling
Joining dataframes (10:20)
Recoding data and other useful functions (19:36)
Reshaping data with the pivot functions (21:23)
Implicitly missing data (12:57)
The species-by-site matrix (17:22)
Advanced Data Wrangling EXERCISES (8:16)
Advanced Data Wrangling EXERCISE SOLUTIONS (21:30)
Bonus lesson: Parsing dates and date math (28:54)
Bonus lesson: plotting figures with dates (18:10)
8 Organizing Projects
How to organize your data projects (14:56)
Congratulations!
Final words and your review
Outro Conclusion (2:41)
Bonus lesson: Parsing dates and date math
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