I hope you'll forgive me for resurrecting this thread. My question refers to John Fox's comments in the discussion of lsmeans from https://stat.ethz.ch/pipermail/r-help/2008-June/164106.html
John you said, "It wouldn't be hard, however, to do the computations yourself, using the coefficient vector for the fixed effects and a suitably constructed model-matrix to compute the effects; you could also get standard errors by using the covariance matrix for the fixed effects." I've been able to make use of all of that except for the 'suitably constructed model-matrix' part. I've looked through some other threads on this topic, but am still a little in the dark as to what I'd need to do to construct a suitable matrix. I would like to use the least squares means to develop parameter estimates for a parametric ROC analysis, as described by Mithat Gonen's book (Analyzing Receiver Operating Characteristic Curves with SAS, 2007). Any suggestions on references that would explain how to go about constructing the suitable model matrix? Many Thanks Benjamin P Please consider the environment before printing this e-mail Cleveland Clinic is ranked one of the top hospitals in America by U.S. News & World Report (2008). Visit us online at http://www.clevelandclinic.org for a complete listing of our services, staff and locations. Confidentiality Note: This message is intended for use\...{{dropped:13}} ______________________________________________ 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.
