James S. Adelman wrote: > If I've understood your question correctly, you are asking about a linear > regression model with response, say z, and two predictors x and y: > > K: z = a + mx + ny + error > > and you wish to know whether H0: m=n. If so, anova(lm(z~x+y),lm(z~I(x+y))) > should be valid under the usual conditions.
Clever. I'll have to think this through a bit more to see if it's doing what I want (it gives much lower p values than my resampling code, which may well be flawed anyway). One test I've done is generate 10000 random data sets, and as expected, your method has around 5% of the samples showing a significant difference when alpha = 0.05. Do you have anything to cite for this...? -- James Myers Graduate Institute of Linguistics National Chung Cheng University 168 University Road, Min-Hsiung Chia-Yi 62102 TAIWAN Email: [EMAIL PROTECTED] Web: http://www.ccunix.ccu.edu.tw/~lngmyers/ Phone: 886-5-242-8251 Fax: 886-5-272-1654 _______________________________________________ R-lang mailing list R-lang@ling.ucsd.edu https://ling.ucsd.edu/mailman/listinfo.cgi/r-lang
