Description Usage Arguments Details Value References Examples
View source: R/nonoverlapmeasures.R
Calculates the TauU index with baseline trend correction (Parker, Vannest, Davis, & Sauber 2011).
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A_data 
vector of numeric data for A phase, sorted in order of session number. Missing values are dropped. 
B_data 
vector of numeric data for B phase. Missing values are dropped. 
condition 
vector identifying the treatment condition for each observation in the series. 
outcome 
vector of outcome data for the entire series. 
baseline_phase 
character string specifying which value of

improvement 
character string indicating direction of improvement. Default is "increase". 
TauU is an elaboration of the Tau
that includes a
correction for baseline trend. It is calculated as Kendall's S statistic
for the comparison between the phase B data and the phase A data, plus
Kendall's S statistic for the A phase observations, scaled by the product
of the number of observations in each phase.
Note that A_data
must be ordered by session number.
Numeric value
Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for singlecase research: TauU. Behavior Therapy, 42(2), 284–299. doi:doi: 10.1016/j.beth.2010.08.006
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