Tau non-overlap (Tau)

The rank-correlation non-overlap effect size, \(\tau = 2\,\mathrm{NAP} - 1\) (Parker et al. 2011), with the SE and interval derived from scedNAP().

Usage

scedTau(
  A_data,
  B_data = NULL,
  improvement = c("increase", "decrease"),
  confidence = 0.95
)

Arguments

A_data, B_data

Numeric baseline (A) and intervention (B) observations, or pass a data.frame to the phase orchestrator scedABAB().

improvement

"increase" (default) if higher scores are better, or "decrease" if lower scores are the therapeutic goal.

confidence

Confidence level for the interval (default 0.95).

Value

An AnalysisResult (type = "sced_tau") whose estimate is Tau in [-1, 1].

See also

scedNAP(), scedTauU()

Examples

scedTau(c(20, 20, 26, 25), c(28, 25, 30, 29))
#> <AnalysisResult> sced_tau 
#>   estimate: 0.8125 
#>   method: Tau 
#>   uncertainty: analytic 95% [-0.03560253, 0.9773097]
#>   fields: estimate, ci_lower, ci_upper, se, z, p_value, n_A, n_B, improvement 
#>   provenance: 1 entr(ies)