[R] values from a linear model
Manuele Pesenti
amicogodzilla at bruttocarattere.org
Tue Jul 24 12:02:58 CEST 2007
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
manuele a inventati.org
amicogodzilla a jabber.linux.it
http://mpesenti.polito.it
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