AAD2 {RProbSup}

AAD2

Description

Calculates the confidence interval for the A statistic for the average absolute deviation for two or more correlated samples.

Usage

AAD2(y, r = 0, weights = FALSE, n.bootstrap = 1999,
conf.level = .95, ci.method = 1, seed = 1)

Arguments

y

Matrix of cases (rows) by scores (column 1) and group codes (column 2) (matrix).

r

Vector of proportions (default = 0, represents equal proportions) (vector).

weights

Weight of each case. Set to TRUE to weight cases; if so, column 3 contains case weights (default = FALSE).

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).

Value

A vector containing the A statistic, its estimated standard error, and the upper and lower bounds of the confidence interval.

Author(s)

John Ruscio

References

Ruscio (2008) & Ruscio and Mullen (2012) & Ruscio and Gera (2013)

Examples

x1 <- rnorm(25)
x2 <- x1 - rnorm(25, mean = 1)
x3 <- x2 - rnorm(25, mean = 1)
y <- cbind(x1, x2, x3)
AAD2(y)