[R] values from a linear model

Dimitris Rizopoulos dimitris.rizopoulos at med.kuleuven.be
Tue Jul 24 12:37:11 CEST 2007


try this:

coef(summary(mod))[, "Std. Error"]


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Manuele Pesenti" <amicogodzilla at bruttocarattere.org>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, July 24, 2007 12:02 PM
Subject: [R] values from a linear model


> 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 at inventati.org
> amicogodzilla at jabber.linux.it
> http://mpesenti.polito.it
>
> ______________________________________________
> R-help at 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.
> 


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