Quite fascinating, if annoying. Nice example Petr! Turns out my expected values are causing even more trouble because of this! I've even gotten negative chi square values (calculated using Cressie and Read's formula)!
So instead of kludging the error measurement code, I think I'm going to have to round the actual expected values. Like exp <- round(exp, digits=10) Are there any ethical reservations to doing this? -- View this message in context: http://r.789695.n4.nabble.com/identical-values-not-so-identical-newbie-help-please-tp3346078p3346880.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.
