robustCDCabove: Robust Conservative Dual Criteria (CDC) using robust...

In SSDforR: Functions to Analyze Single System Data

Robust Conservative Dual Criteria (CDC) using robust regression desired zone above lines

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

RobustCDCabove(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")

Author(s)

Charles Auerbach, PhD Wurzweiler School of Social Work Wendy Zeitlin, PhD Montclair State University

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.

Auerbach, Charles, and Zeitlin Wendy. SSD for R: An R Package for Analyzing Single-Subject Data. Oxford University Press, 2014. p86, p144 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")
RobustCDCabove(cry,pcry,"A","B")

SSDforR documentation built on Nov. 24, 2023, 5:08 p.m.