ESS 3500 R Handbook
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    • Lesson 1: Software installation
    • Lesson 2: Data management
    • Lesson 3: R basics
    • Lesson 4: Data frames
    • Lesson 5: Data visualization
    • Lesson 6: Graphing in R
    • Lesson 7: Hypothesis testing
    • Lesson 8: Probability
    • Lesson 9: Probability distributions
    • Lesson 10: Chi-square tests
    • Lesson 11: T-tests
    • Lesson 12: Assumptions and transformations
    • Lesson 13: ANOVA
    • Lesson 14: Correlations and Regressions
    • Lesson 15: Multiple predictors
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R Handbook Lesson 5

Emily Schultz

2026-01-04