david-ellis/r-regression-tools

Collection of functions to make performing regressions in R easier

r-regression-tools

This is a collection of functions I’ve built to make my life easier when performing regressions in r

all_pairs()

When investigating marginal effects, we’re often only interested in the first-order effects, i.e. those between two variables only.

That means that if we have three variables A, B and C, we’re not interested in ABC. However, when we’ve got lots of variables, it can take a long time to write out our function with each pair e.g. output ~ A + B + C + AB + B+C + CB and quickly gets worse as we increase the number of variables.

all_pairs() writes the formula for us automatically:

  variables <- c("A", "B", "C", "D")
  my_output = "Output"
  all_pairs(my_output, variables)

## Output ~ A + B + C + D + A * B + A * C + A * D + B * C + B * 
##     D + C * D
## <environment: 0x000001f21918ddb0>