"John Fox" <[EMAIL PROTECTED]> writes: > Dear Vito, > > Since Manuel says that he wants to "obtain a test" and not "obtain two > tests," I assume that he's interested in the F-test for the hypothesis that > both coefficients are simultaneously equal to the specified values rather > than in the t-tests for the individual hypotheses. > > Regards, > John
...in which case one answer is this: > y<-3+0.6*x1+0.3*x2 + rnorm(100,sd=.1) # as meant, no? > fm<-lm(y~x1+x2) > anova(fm, lm(y~offset(0.6*x1+0.3*x2))) Analysis of Variance Table Model 1: y ~ x1 + x2 Model 2: y ~ offset(0.6 * x1 + 0.3 * x2) Res.Df RSS Df Sum of Sq F Pr(>F) 1 97 1.06118 2 99 1.06184 -2 -0.00066 0.0302 0.9703 -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
