Install and load the fortunes package first, then run fortune(117), etc. Then run fortune() quite a few times for possible enlightenment (or at least mild entertainment).
Do your NoiseGenerotors need to generate exactly normal data (they don't, see SnowsPenultimateNormalityTest), or is there a level of close enough? If I remember correctly, you were testing 2000 values, with that sample size most normality tests will find very small differences to be significantly different, even if those small differences are practically meaningless. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Bosken > Sent: Thursday, February 25, 2010 10:21 AM > To: r-help@r-project.org > Subject: Re: [R] Normal distribution (Lillie.test()) > > > Hi, > > Thanks for your reaction. > > The purpose of my test is to check if my NoiseGenerators really are > Normal > Distributed en witch circuit is the best! > > So I need some good test to do this. > > But what with: Fortune(117) and fortune(234), can't find anything about > it.. > > Thanks for the help! > > Bosken > -- > View this message in context: http://n4.nabble.com/Normal-distribution- > Lillie-test-tp1565083p1569361.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
