Given individual/school/block data of a blocked, cluster RCT, calculate statistics for each block (block).
Usage
make_block_table(
formula = NULL,
data = NULL,
control_formula = NULL,
check_data_integrity = FALSE
)Arguments
- formula
Notation for Y ~ Z | clusterID | blockID. If NULL, `data` is assumed to already be in canonical form.
- data
Dataframe holding the outcome, treatment, and clustering/blocking columns referenced by `formula` (or already in canonical form if `formula` is NULL).
- control_formula
What variables to control for, in the form of "~ X1 + X2".
- check_data_integrity
TRUE means runs some checks and give errors if data fails them (e.g., incorrectly processed treatment vector.). FALSE means calculate statistics without these checks.