Legendary R function to return a data.frame with values adjusted for covariates
returnAdj returns a data.frame with values adjusted for designated covariates. It takes
the following parameters:
- data: The overarching data.frame
- measure: A string for the name of the vector to be adjusted
- covars: A vector holding the names of the covariates to be used (but not in an interaction term)
- interacts: A vector holding the names of covariates to be used in an interaction term
- display: A boolean indicating that the original-adjusted value correlations
are to be printed. This defaults to true. - method: A string identifying the mean adjusting methods. This defaults to 'smean'. The other options include 'iadj' and 'null'.
- subset: A conditional expression that returns a vector of booleans the same length as the vector to be adjusted. This can be used to generate the model on only a subset of the data (e.g. Controls only)