| Title: | Indices for Single-Case Research |
|---|---|
| Description: | Parametric and nonparametric statistics for single-case design. Regarding nonparametric statistics, the index suggested by Parker, Vannest, Davis and Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines both nonoverlap and trend to estimate the effect size of a treatment in a single case design. |
| Authors: | Isabella Giammusso |
| Maintainer: | Isabella Giammusso <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.1.0 |
| Built: | 2025-02-12 04:40:37 UTC |
| Source: | https://github.com/cran/effectsizescr |
Nonoverlap and trend for single case research: the TAU-U function of Parker et al. (2011).
TAU(data1, nameTime = "TIME", namePhase = "DUMMYPHASE", nameDV = "DV", Aphase = 0, Bphase = 1)TAU(data1, nameTime = "TIME", namePhase = "DUMMYPHASE", nameDV = "DV", Aphase = 0, Bphase = 1)
data1 |
a matrix or a dataframe with time,outcome and phases columns |
nameTime |
the name of the time column |
namePhase |
the name of the phase column |
nameDV |
the name of the dependent variable |
Aphase |
how phase A was coded in the phases column |
Bphase |
how phase B was coded in the phases column |
A list including partition matrix, full matrix and TAU-U analysis
Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284-299, doi: 10.1016/j.beth.2010.08.006
data=cbind(rnorm(16),1:16,c(rep(0,8),rep(1,8))) colnames(data)=c("DV","TIME","PHASE") TAU(data1=data,nameTime = "TIME",namePhase = "PHASE", nameDV = "DV")data=cbind(rnorm(16),1:16,c(rep(0,8),rep(1,8))) colnames(data)=c("DV","TIME","PHASE") TAU(data1=data,nameTime = "TIME",namePhase = "PHASE", nameDV = "DV")