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This is the simplest entry point in statsguider. You describe the data properties, and the function either recommends a method or runs it.

Usage

select_test(
  data,
  outcome,
  group = NULL,
  id = NULL,
  goal = "difference",
  paired = "no",
  repeated = "no",
  adjust = "no",
  outcome_type = NULL,
  normality = "auto",
  run = "run",
  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.

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 manual outcome type. One of "continuous", "binary", "nominal", "ordinal", or "count". When NULL, it is guessed.

normality

One of "auto", "yes", "no", or "unknown".

run

One of "recommend" or "run".

language

"en" or "ja".

Value

A statsguider_decision object when run = FALSE, or a statsguider_result object when run = "run".