RE.ADT: Anderson-Darling test
In Johnson: Johnson Transformation

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/RE.ADT.R

RE.ADT performs the Anderson-Darling test according to Trujillo-Ortiz(2007)

RE.ADT(x)

`x`	x vector of observations

For only work with p-values see the second example

The object returned consists of the following items: p-value the resulting p-value of the transformation

The function RE.ADT use the traditional algorithm while ADGofTest package is based on the Marsaglia approach.

Edgar Santos Fernandez

Trujillo-Ortiz, A., R. H.-W. K. B.-R. & Castro-Perez., A.(2007), "Andartest:anderson-darling test for assessing normality of a sample data.". URL: http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=14807

<pkg>

# performing the AD test for a random sample
x <- rnorm(100,10,2)
y <- RE.ADT(x); print(y)

#working with the p-value
x <- runif(100)
y <- RE.ADT(x) $p; print(y)