Basics of R Course Curriculum
1 Welcome to the course!
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2 Introduction to R and RStudio
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3 Vectors and Dataframes
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- 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
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5 Basic Data Visualization
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6 Data Wrangling 101
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7 Advanced Data Wrangling
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- 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
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Congratulations!
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