The data | Specifying conditions in the multiverse analysis | The %when% operator | The branch_assert() function | Implementing conditions in a complete analysis

Branches in a multiverse analysis | The syntax for declaring a branch() | Diving deeper: the multiverse compiler | Going back to branches | Example 1: A branch within functions in a "pipe": %>% | Example 2: Another branch within a function | Example 3: Beware of the flexibility | Example 4: Variable assignment inside a branch statement | Example 5: A branch as a function | Example 6: Defining parameters separately | Example 7: Parameters can be re-used (and alternate ways of declaring the same branch) | Example 8: Declaring continuous variables in branch | Example 9: Nested branch statements and asymmetric trees

Multiverse case study #4 | Introduction | Original analysis | Multiverse Analysis | Excluding outliers | Note | Identifying independent variables | Declaring alternative specifications of regression model | Execution and Results

Multiverse case study #2 | Introduction | The data | Analysis #1: Mean and Confidence Intervals for each condition | Average task completion time (arithmetic mean) for each condition. | Note | Results #1 | Extracting the results from the multiverse object | Visualising the results | Sidebar: Using the tidyverse to extract and visualize the results | Analysis #2: Differences between mean completion times between conditions | Extracting and visualizing the results from the multiverse | Results #2 | Conclusion

Multiverse case study #3 | Introduction | The data | Just Noticeable Differences (JNDs) | Regression results | Implementation in multiverse | Note

Introduction | Data and analysis | Execution | Sequential | Parallel: separate R sessions | Parallel: separate forked processes | Parallel: compute clusters | What if I want to execute only a subset of the specifications?

Introduction | Data and Analysis | Model #2: Effect of Fertility and Relationship status on Religiosity | The results | Computing the results in each multiverse | Extracting the results | Visualisations | Animating the coefficients of the model from each multiverse | Histogram of p-values of the Fertility × Relationship status interaction | Specification curve

Introduction | Inside() and Multiverse analysis in R scripts | Multiverse in RMarkdown | Multiverse code block | Notes on using multiverse code blocks | In RStudio using RMarkdown | Knitting to HTML using knitr | Debugging Keyboard Shortcuts | On OS X Systems

Multiverse case study #1 | Introduction | The data | A single data set analysis: one possible analysis among many | Multiverse implementation | Note | The multiverse, with declared code and branches | Running a single analysis from the multiverse | A multiverse with all possible combinations specified | Specifying conditions in the multiverse analysis | Putting it all together | Modeling | Model #2: Effect of Fertility and Relationship status on Religiosity

Introduction | Milliways | Analysis | Cycle Length | Certainty | Menstrual Calculation | Fertility | Relationship Status | Regression Model | Visualising the Results | Exporting the JSON files | Exporting the results | A Note on Distributional Assumptions | Exporting the Code | Exporting the Dataset