| Contents | ||||
|---|---|---|---|---|
| Fall, 2021 | ||||
| Title | HTML | R Markdown | ||
| Week 1 | ||||
| 0 | About the class |
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| 1 | Why use R |
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| 2 | Installing R |
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| 3 | Introductions |
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| 4 | R Markdown |
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| 5 | Data structures in R |
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| Week 2 | ||||
| 1 | Packages |
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| 2 | Naming conventions in R |
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| 3 | Functions and Loops |
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| 4 | Data Ingestion |
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| 5 | Data Munging |
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| 6 | Factors |
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| 7 | Joining datasets |
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| Week 3 | ||||
| 1 | Why data visualization |
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| 2 | Introduction to ggplot |
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| 3 | Saving your work |
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| 4 | Visualizing the nature of data sets |
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| 5 | Themes |
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| 6 | Putting plots together |
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| 7 | Maps and spatial data |
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| 8 | Annotating a plot |
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| 9 | Animated graphics in R |
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| Week 4 | ||||
| 1 | Using loops and map |
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| 2 | Statistical summaries |
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| 3 | Statistical tests |
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| 4 | Classical statistical models |
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| 5 | Using the computer for statistical inference |
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| Week 5 | ||||
| 1 | Project Organization |
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| 2 | R Markdown |
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| 3 | Data validation and exploration |
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| 4 | Pipelines and workflows |
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| Week 6 | ||||
| 1 | Displaying analytic results |
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| 2 | A very short, sketchy, introduction to Bioconductor |
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| 3 | Miscellaneous topics |
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