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] D'agostino-Pearson K2 omnibus test.
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| group | r-help |
| categories | r |
| posted | Nov 3, '09 at 10:37a |
| active | Nov 3, '09 at 10:37a |
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| users | 1 |
| website | r-project.org |
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