Description Usage Arguments Details Value References Examples
View source: R/nonoverlapmeasures.R
Calculates the percentage exceeding the median (PEM) index (Ma, 2006).
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A_data 
vector of numeric data for A phase. 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". 
For an outcome where increase is desirable, PEM is calculated as the proportion of observations in the B phase that exceed the median observation from the A phase. For an outcome where decrease is desirable, PEM is calculated as the proportion of observations in the B phase that are less than the median observation from the A phase. Ties are counted with a weight of 0.5. The range of PEM is [0,1].
Numeric value
Ma, H.H. (2006). An alternative method for quantitative synthesis of singlesubject researches: Percentage of data points exceeding the median. Behavior Modification, 30(5), 598–617. doi:doi: 10.1177/0145445504272974
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