Aggregate data to the cluster level. — aggregate

Also implements checks to ensure that all clusters are entirely treated or not treated.

Usage

aggregate_data(data, formula = NULL, control_formula = NULL)

Arguments

data: Dataframe with 'clusterID' and 'Z' as columns. 'blockID' optional column. This is data in the "canonical form".
formula: Notation for Y ~ Z | clusterID | blockID. If NULL, `data` is assumed to already be in canonical form.
control_formula: What variables to control for, in the form of "~ X1 + X2". These will be averaged (or dummy-expanded and averaged, for categorical covariates) to the cluster level.

Value

tibble of cluster-aggregated data, including Ybar, n, blockID, clusterID, and Z

Details

If covariates specified, categorical covariates will be converted to dummy variables and then averaged (even if they are only level-2 or level-3 covariates)

Will convert data to canonical form with Yobs, Z, clusterID and blockID as the names of outcome, treatment, cluster id and block id.