scan (version 0.53)

nap: Nonoverlap of all Pairs

Description

The nap function calculates the nonoverlap of all pairs (NAP; Parker & Vannest, 2009). NAP summarizes the overlap between all pairs of phase A and phase B data points. If an increase of phase B scores is expected, a non-overlapping pair has a higher phase B data point. The NAP equals \(number of pairs showing no overlap / number of pairs\). Because NAP can only take values between 50 and 100 percent, a rescaled and therefore more intuitive NAP (0-100%) is also displayed.

Usage

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

Arguments

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.

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").

Value

nap

A data frame with NAP and additional values for each case.

N

Number of cases.

References

Parker, R. I., & Vannest, K. (2009). An improved effect size for single-case research: Nonoverlap of all pairs. Behavior Therapy, 40, 357-367.

See Also

Other overlap functions: corrected_tau(), overlap(), pand(), pem(), pet(), pnd(), tau_u()

Examples

# NOT RUN {
## Calculate NAP for a study with  lower expected phase B scores (e.g. aggressive behavior)
gretchen <- scdf(c(A = 12,14,9,10, B = 10,6,4,5,3,4))
nap(gretchen, decreasing = TRUE)

## Request NAP for all cases from the Grosche2011 data
nap(Grosche2011)

# }