[R] values from a linear model

[Vladimir Eremeev]

Manuele Pesenti wrote:
> 
> 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
> 

If you want to assign these values to some other variables, try assigning
the result of the summary() to a variable and working with its components
(the result is a list, use $ or [[]] to get its members)

mod.sum<-summary(mod)
then
coef(mod.sum)[,2]
or
mod.sum$coefficients[,2]

will give you those Std. Errors

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