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.

Reply via email to