The proportion of intervention-phase observations beyond the baseline median,
counting ties as one half (Ma 2006).
Usage
scedPEM(A_data, B_data = NULL, improvement = c("increase", "decrease"))
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.
Value
An AnalysisResult (type = "sced_pem") whose estimate is the PEM.
References
Ma H-H (2006). An alternative method for quantitative synthesis of
single-subject research: percentage of data points exceeding the median.
Behavior Modification, 30(5), 598-617.
Examples
scedPEM(c(20, 20, 26, 25), c(28, 25, 30, 29))
#> <AnalysisResult> sced_pem
#> estimate: 1
#> method: PEM
#> fields: estimate, ci_lower, ci_upper, baseline_median, n_A, n_B, improvement
#> provenance: 1 entr(ies)