I think an alternative is to use a p-value from F distribution. Even tough it is not a statistics, it is much easier to explain and popular than 1/F. Better yet to report the confidence intervals.
Regards, Adai On Wed, 2005-11-09 at 17:09 -0600, Mike Miller wrote: > On Wed, 9 Nov 2005, Gao Fay wrote: > > > Hi there, > > > > Suppose mu is constant, and error is normally distributed with mean 0 and > > fixed variance s. I need to find a statistics that: > > Y_i = mu + beta1* I1_i beta2*I2_i + beta3*I1_i*I2_i + +error, where I_i is > > 1 > > Y_i is from group A, and 0 if Y_i is from group B. > > > > It is large when beta1=beta2=0 > > It is small when beta1 and/or beta2 is not equal to 0 > > > > How can I find it by R? Thank you very much for your time. > > > That's a funny question. Usually we want a statistic that is small when > beta1=beta2=0 and large otherwise. > > Why not compute the usual F statistic for the null beta1=beta2=0 and then > use 1/F as your statistic? > > Mike > > ______________________________________________ > [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 > ______________________________________________ [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
