Dear R users, how can I extrapolate values listed in the summary of an lm model but not directly available between object values such as the the standard errors of the calculated parameters?
for example I got a model: mod <- lm(Crd ~ 1 + Week, data=data) and its summary: > summary(mod) Call: lm(formula = Crd ~ 1 + Week, data = data, model = TRUE, y = TRUE) Residuals: Min 1Q Median 3Q Max -4.299e-03 -1.653e-03 2.628e-05 1.291e-03 5.130e-03 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.000e+01 3.962e-04 25238.73 <2e-16 *** Week 5.038e-04 6.812e-06 73.96 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.001966 on 98 degrees of freedom Multiple R-Squared: 0.9824, Adjusted R-squared: 0.9822 F-statistic: 5469 on 1 and 98 DF, p-value: < 2.2e-16 I'm interested in values of Std. Error of coefficients... thank you very much Best regards Manuele -- Manuele Pesenti [EMAIL PROTECTED] [EMAIL PROTECTED] http://mpesenti.polito.it ______________________________________________ R-help@stat.math.ethz.ch 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.