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R for fish and wildlife grads
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Week 1: The R environment
Week 1 learning objectives
Week 2: Databases: types, formats, and practical considerations
Changing R studio to default 32-bit R
Week-3: R objects and attributes
Week 3 learning objectives
Week 4: Selecting, subsetting, appending data
Week 5: Working with dates, for-loops and if-else
Week 5 learning objectives
Week 6: Counts, means, sums, ranks
Week 6 Learning objectives
Week 7. Creating and working with R functions
Week 7 Objectives
Week 8: R graphics-how to make your data look pretty...
Week 9: Statistical analysis with R
Hierarchical model references
Week 9 Learning objectives
Week 10: R_markdown
Bonus lesson: Simulation
faqs
MuMIn_usage_examples
R for fish and wildlife grads
Hierarchical model references
Link,W.A. and R.J. Barker
Royle, J.A. and R. M. Dorazio
Raudenbush and Bryk
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