overlapSC: Overlap indices for single-case data
In scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

Description Usage Arguments Value Author(s) See Also Examples

The overlapSC function provides the most common overlap indices for single-case data and some additional statistics.

1	overlapSC(data, dvar, pvar, mvar, decreasing = FALSE, phases = c(1, 2))

`data`	A single-case data frame. See `scdf` to learn about this format.
`dvar`	Character string with the name of the dependent variable. Defaults to the attributes in the scdf file.
`pvar`	Character string with the name of the phase variable. Defaults to the attributes in the scdf file.
`mvar`	Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file.
`decreasing`	If you expect data to be lower in the B phase, set `decreasing = TRUE`. Default is `decreasing = FALSE`.
`phases`	A vector of two characters or numbers indicating the two phases that should be compared. E.g., `phases = c("A","C")` or `phases = c(2,4)` for comparing the second to the fourth phase. Phases could be combined by providing a list with two elements. E.g., `phases = list(A = c(1,3), B = c(2,4))` will compare phases 1 and 3 (as A) against 2 and 4 (as B). Default is `phases = c("A","B")`.

`overlap`	A data frame consisting of the following indices for each single-case for all cases: PND, PEM, PET, NAP, PAND, Tau-U (A vs. B - Trend A), Diff_mean, Diff_trend, SMD.
`phases.A`	Selection for A phase.
`phases.B`	Selection for B phase.
`design`	Phase design.

Juergen Wilbert

Other overlap functions: corrected_tauSC(), nap(), pand(), pem(), pet(), pnd(), tauUSC()

## Display overlap indices for one single-case
overlapSC(Huitema2000, decreasing = TRUE)

## Display overlap indices for six single-cases
overlapSC(GruenkeWilbert2014)

## Combining phases for analyszing designs with more than two phases   
overlapSC(exampleA1B1A2B2, phases = list(c("A1","A2"), c("B1","B2")))