Hi, Is there an implementation of the D'agostino K2 omnibus test in an R package. I've found the D test in the fBasics package, but this doesn't give the same answer as my algorithm. I've already coded a version of the K2 and need to check the results.
I have a set of spectra with gaussian distributed noise and I want a statistical test to separate those with no signal (so the data should be distributed normally) from those spectra with a line. Has anyone any experience of this? Any help would be greatly appreciated. James ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
