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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")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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