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Non-overlap of all pairs (NAP)

Source: R/sced-nonoverlap.R
scedNAP.Rd

The probability that a randomly chosen intervention observation exceeds a randomly chosen baseline observation, with ties counted as one half (Parker & Vannest 2009) - equivalent to the area under the ROC curve. The confidence interval is the score interval of Newcombe (2006) and the standard error the unbiased estimator, both as in SingleCaseES.

Usage

scedNAP(
  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_nap") whose estimate is the NAP, with an analytic uncertainty interval and result$se, result$p_value.

References

Parker RI, Vannest KJ (2009). An improved effect size for single-case research: non-overlap of all pairs. Behavior Therapy, 40(4), 357-367. Newcombe RG (2006). Confidence intervals for an effect size measure based on the Mann-Whitney statistic. Statistics in Medicine, 25.

See also

scedTau(), scedTauU()

Examples

scedNAP(c(20, 20, 26, 25), c(28, 25, 30, 29))
#> <AnalysisResult> sced_nap 
#>   estimate: 0.90625 
#>   method: NAP 
#>   uncertainty: analytic 95% [0.4821987, 0.9886549]
#>   fields: estimate, ci_lower, ci_upper, se, z, p_value, n_A, n_B, improvement 
#>   provenance: 1 entr(ies)