Description Usage Arguments Value Author(s) References Examples
Calculates the standard error and constructs a confidence interval for the A statistic for two correlated samples using bootstrap methods.
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y1 |
Scores for group 1 (vector). |
y2 |
Scores for group 2 (vector). |
weights |
Whether to weight cases (default = FALSE). |
w |
Weights for cases in group 1 (optional) (vector, default is 0). |
n.bootstrap |
Number of bootstrap samples (scalar, default = 1999). |
conf.level |
Confidence level (scalar, default = .95). |
ci.method |
Method used to construct confidence interval (scalar, default = 1 (for BCA), user can also call 2 (for percentile). |
seed |
Random number seed (scalar, default = 1). |
A vector containing the A statistic, its estimated standard error, and the upper and lower bounds of the confidence interval.
John Ruscio
Ruscio (2008) & Ruscio and Mullen (2012) & Ruscio and Gera (2013)
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