Performs structural validation before recommending or running a statistical test. The function is intentionally conservative and redirects designs that should not be forced into a simple test.
Usage
check_design(
data,
outcome,
group = NULL,
id = NULL,
goal = "difference",
paired = "no",
repeated = "no",
adjust = "no",
outcome_type = NULL,
language = "en"
)Arguments
- data
A data frame.
- outcome
Name of the outcome column.
- group
Optional name of the group column.
- id
Optional subject identifier column for paired or repeated designs.
- goal
Analysis goal. One of
"difference","association","adjusted_effect","time_to_event","agreement", or"equivalence".- paired
"yes"or"no".- repeated
"yes"or"no".- adjust
"yes"or"no".- outcome_type
Optional outcome type. One of
"continuous","binary","nominal","ordinal", or"count".- language
"en"or"ja".