adk-package {adk} | R Documentation |
The K-sample Anderson-Darling test adk.test
is used to test the hypothesis that K samples
of various sizes come from a common continuous distribution that is otherwise unspecified.
It is a rank test and it is consistent against all alternatives. The combined version
of the test adk.combined.test
is used to test several such hypotheses at the same time
and the common distribution may vary from hypothesis to hypothesis.
Package: | adk |
Type: | Package |
Version: | 1.0 |
Date: | 2008-01-21 |
License: | GPL version 2 or newer |
Fritz Scholz
Maintainer: <fscholz@u.washington.edu>
Scholz F.W. and Stephens M.A. (1987), K-sample Anderson-Darling Tests, Journal of the American Statistical Association, Vol 82, No. 399, 918–924.
## Example using adk.test x <- list(c(1,3,2,5,7),c(2,8,1,6,9,4),c(12,5,7,9,11)) out <- adk.test(x) # or out <- adk.test(c(1,3,2,5,7),c(2,8,1,6,9,4),c(12,5,7,9,11)) ## Example using adk.combined.test x1 <- list( c(1, 3, 2, 5, 7), c(2, 8, 1, 6, 9, 4), c(12, 5, 7, 9, 11) ) x2 <- list( c(51, 43, 31, 53, 21, 75), c(23, 45, 61, 17, 60) ) adk.combined.out <- adk.combined.test(x1,x2) # or out <- adk.combined.test(list(x1,x2))