Type: | Package |
Title: | Indices for Single-Case Research |
Version: | 0.1.0 |
Author: | Isabella Giammusso |
Maintainer: | Isabella Giammusso <isabella.giammusso@unipa.it> |
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. |
Depends: | R (≥ 2.15) |
Imports: | Kendall |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
LazyData: | true |
NeedsCompilation: | no |
Packaged: | 2018-04-16 09:53:34 UTC; ws1 |
Repository: | CRAN |
Date/Publication: | 2018-04-16 14:04:35 UTC |
Parker's TAU-U
Description
Nonoverlap and trend for single case research: the TAU-U function of Parker et al. (2011).
Usage
TAU(data1, nameTime = "TIME", namePhase = "DUMMYPHASE",
nameDV = "DV", Aphase = 0, Bphase = 1)
Arguments
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 |
Value
A list including partition matrix, full matrix and TAU-U analysis
References
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
Examples
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")