SSDforR (version 1.1)

robustCDC: Conservative Dual Criteria using robust regression

Description

The conservative dual-criteria (CDC) is a relatively new approach to comparing phases that works well when data have a moderate lag-1 autocorrelation (lower than 0.6). This function uses two lines to define the desired zone: the mean and the robust regression line of the comparison phase.

Usage

robustCDC(behavior, phaseX, v1, v2)

Arguments

behavior

behavior variable

phaseX

phase variable

v1

phase letter of first (i.e., comparison) phase between quotation marks (e.g., "A")

v2

phase letter of second phase between quotation marks (e.g., "B")

References

{Fisher, W.W., Kelley, M.E. & Lomas, J.E. (2003). Visual aids and structured criteria for improving visual inspection and interpretation of single-case designs. Journal of Applied Behavior Analysis, 36(3), 387-406. } {Go to www.ssdanalysis.com for more information.}

Examples

cry<-c(3, 4, 2, 5, 3, 4, NA, 2, 2, 3, 2, 1, 2, NA, 2, 2, 1, 2, 1, 0, 0, 0)
pcry<-c("A", "A", "A", "A", "A", "A", NA, "B", "B", "B", "B", "B", "B", NA, "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1")
robustCDC(cry,pcry,"A","B")