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-
Welcome
- Welcome to Inferential Statistics with R
- Introduction to the Dataset
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t-tests
- Independent t-test
- Dependent t-test
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One-Way ANOVA
- One-Way ANOVA
- Post Hoc Comparisons
- Other ANOVA Tests
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Chi-Square
- Chi-Square
- Dealing with Small Cells
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Correlation
- Correlation
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Regression
- Linear Regression
- Multiple Regression
- Hierarchical Regression
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Reliability
- Reliability
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Reporting Results
- Extracting Output
- Reporting Results
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Testing Assumptions
- Testing Assumptions
- Testing for Normality
- Testing for Homogeneity of Variance
- Violated Assumptions
Inferential Statistics with R
Post Hoc Comparisons
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This lesson is called Post Hoc Comparisons, part of the Inferential Statistics with R course. This lesson is called Post Hoc Comparisons, part of the Inferential Statistics with R course.
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Transcript
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Your Turn
Perform one-way ANOVA to test whether there is a difference in
hs_gpabygrade_class. Is there a difference? If so, perform a Tukey’s HSD to test where the differences are. Describe the differences.Perform one-way ANOVA to test whether there is a difference in
weight_2bygender. Is there a difference? If so, perform a Tukey’s HSD to test where the differences are. Describe the differences.
Learn More
Read more about the tukey_hsd() function in the rstatix package. The rstatix package also has functions for Dunn's test of multiple comparisons using dunn_test(), Games Howell post-hoc tests using games_howell_test(), and pairwise comparisons of estimated marginal means using emmeans_test().
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