[R] Extracting coefficients' standard errors from linear model
Marc Schwartz
marc_schwartz at comcast.net
Fri Apr 25 17:15:58 CEST 2008
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 <
> ulikleinwechter at yahoo.com.mx> 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
>>
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