recommend_test() applies the package's simple branching logic and returns a
structured decision object.
Usage
recommend_test(
data,
outcome,
group = NULL,
id = NULL,
goal = c("difference", "association", "adjusted_effect", "time_to_event", "agreement",
"equivalence"),
outcome_type = c("auto", "continuous", "binary", "nominal", "ordinal", "count"),
paired = c("no", "yes"),
repeated = c("no", "yes"),
adjust = c("no", "yes"),
normality = c("auto", "yes", "no", "unknown")
)Arguments
- data
A
data.frame.- outcome
Name of the outcome column.
- group
Optional name of the group column.
- id
Optional name of the subject identifier column.
- goal
One of
"difference","association","adjusted_effect","time_to_event","agreement", or"equivalence".- outcome_type
One of
"auto","continuous","binary","nominal","ordinal", or"count".- paired
"yes"or"no".- repeated
"yes"or"no".- adjust
"yes"or"no".- normality
One of
"auto","yes","no", or"unknown".