Hi, I am trying to use the Kuiper and Watson U^2 tests available in the CircStats or circular packages to test for uniformity on a circle. However, the implementation of these tests gives ranges of p-values that are not dependent on n, the size of sample.
Are there any methods (including/excluding implementation) for calculating the p-values (with respect to n) of these tests with arbitrary precision? The closest thing that I found was an asymptotic approximation for the Kuiper p-value implemented in MatLab. Many thanks and all the best, Firas. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
