dear R experts---I am using the coef() function to pick off the coefficients
from an lm() object. alas, I also need the standard errors and I need them
fast. I know I can do a summary() on the object and pick them off this
way, but this computes other stuff I do not need. Or, I can compute (X'
You can get SE with this:
coef(summary(your_model))[,'Std. Error']
On Fri, Jan 8, 2010 at 11:35 AM, ivo welch ivo...@gmail.com wrote:
dear R experts---I am using the coef() function to pick off the coefficients
from an lm() object. alas, I also need the standard errors and I need them
From: ivo welch
dear R experts---I am using the coef() function to pick off
the coefficients
from an lm() object. alas, I also need the standard errors
and I need them
fast. I know I can do a summary() on the object and pick
them off this
way, but this computes other stuff I do not
See ?display in the arm package.
On Fri, Jan 8, 2010 at 8:35 AM, ivo welch ivo...@gmail.com wrote:
dear R experts---I am using the coef() function to pick off the coefficients
from an lm() object. alas, I also need the standard errors and I need them
fast. I know I can do a summary() on the
On 8 January 2010 at 08:35, ivo welch wrote:
| dear R experts---I am using the coef() function to pick off the coefficients
| from an lm() object. alas, I also need the standard errors and I need them
| fast. I know I can do a summary() on the object and pick them off this
| way, but this
naive questions---
why is this not part of the standard R distribution? fast regression is
*not* an obscure need.
why would an se() function not be part of the standard R distribution, given
that coef() can be?
naive suggestion to add to the ?lm text
The underlying low level functions,
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