Or use: mod <- lm(var1 ~ var2 + var3 + var4)
coef(summary(mod))[, 2] or coef(summary(lm.D9))[, "Std. Error"] if you prefer using column names. coef() extracts the model coefficients from the lm object and the additional content in a summary.lm object. There are accessor functions for model objects and these are referenced in "An Introduction to R" and in the See Also section of ?lm. HTH, Marc Schwartz Henrique Dallazuanna wrote: > Try: > > summary(lm.D9)[["coefficients"]][,2] > > On Fri, Apr 25, 2008 at 10:55 AM, Uli Kleinwechter < > [EMAIL PROTECTED]> wrote: > >> Dear all, >> >> Hope this question is not too trivial... >> >> In order to correct standard errors from an estimation of a fixed >> effects regression model y need to extract the vector of standard errors >> of the coefficients of a simple linear model estimated using >> >> lm(var1~var2+var3+var4) >> >> Unfortunately I can't find out the corresponding function. >> >> Thank you very much for your help. >> >> Uli >> ______________________________________________ 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.
