> > > > Jorge Manuel de Almeida Magalhães wrote: >> >> Dear Sirs >> >> What is the best aproximation to the standardized normal distribution: >> >> > > How about > > http://www.statsci.org/s/qres.html > > (which gives S-PLUS code: haven't checked to see if it works in R > or not, but it looks like it probably will) > > My other question is how much you should expect to derive > strong conclusions from the residuals from this small a data set ...
You are reason. Such date is a example. The p-value ( 0.043518) it is inconsistency with the Pearson Residuals: CE-1 CE-2 CE-3 sem necessidade -0.4309469 0.3576286 -0.3069599 com necessidade 0.2547359 1.8561316 -1.5403424 We can compare them against standard normal critical values such as 1.96. All residuals are in range -1,96, +1.96. But, if I do n*resid.pear.mat/sqrt(outer(n-ni,n-nj,"*")) CE-1 CE-2 CE-3 sem necessidade -0.6701451 -0.6569159 2.497185 com necessidade 0.6701451 0.6569159 -2.497185 I found that the group CE-3 is responsible by the lack of the independence model. This is consistency with the p-value. ______________________________________________ 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.