Dear Bruno, See the effects package (on CRAN) for a generalization of adjusted means.
I hope this helps, John ------------------------------ John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Bruno Estigarribia > Sent: January-22-09 12:32 AM > To: r-help@r-project.org > Subject: [R] Standard errors of least squares adjusted means > > Hello, > > I have the following model: > lm.7 <- lm(Y ~ F + C1 + C2 , data = EM4) > F is a 4-level factor, the rest are covariates centered at their mean (Y > is a two-column matrix). > I have tried to find functions to give the model-adjusted means > (adjusted at the covariates'means) and their standard deviations for each. > (That is, what I believe is called in SAS "least square or LS-means, > whose errors one obtains by STDERR) > I have tried help.search and RSiteSearch with several terms including > "standard errors", "least square means", "adjusted means". I have found > how to extract the SE from coefficients (se.coef from package arm), or > the SE for contrasts (se.contrast from package stats), but not the SE > for an adjusted mean. > Thank you, > > -- > Bruno Estigarribia > Postdoctoral Fellow > FPG Child Development Institute > Neurodevelopmental Disorders Research Center > University of North Carolina at Chapel Hill > > 105 Smith Level Rd > Chapel Hill, NC 27599-8180 > USA > + 1 (919) 843-7685 > > ______________________________________________ > 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. ______________________________________________ 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.
