Simple Linear Regression with mverse

Simple Example: Transform and Summarise One Numeric Column | Step 1: create_multiverse of the data frame | Step 2: mutate_branch to transform col1 | Step 3: add_mutate_branch to mv | Step 4: execute_multiverse to execute the transformations | Step 5: Extract Transformed Values from mv | Step 5: use tidyverse to compute the summary and plot the distribution of each transformation (universe) | Simple Example: Using mverse to Fit Three Simple Linear Regression of a Transformed Column | Step 2: Create formula_branch of the linear regression models | Step 3: add_formula_branch to multiverse of data frame | Step 3: lm_mverse to compute linear regression models across the multiverse | Step 4: Use summary to extract regression output | Are Soccer Referees Biased? | Analysis using Base R and Tidyverse | Analysis Using mverse | Branching Using mverse | Summarizing The Distribution Of Each Branch Option | References

Exploring The Severity Of Feminine-named Versus Masculine-named Hurricanes | Define Branches in the Hurricane Multiverse | Branches for Data Manipulation | GLM Branches for Modelling | Condition Branches | Negative Binomial Regression