[R] Q: extracting data from lm

[D. R. Evans]

Warning: I am a complete newbie to R. I have read ISwR, but I am still
finding myself completely stuck on some simple concepts.

I have tried everything I can think of to solve this one, and finally
decided that enough was enough and I need a pointer to a solution.

I have the following summary from lm():

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> summary(lm(nu1~nu4))

Call:
lm(formula = nu1 ~ nu4)

Residuals:
     Min       1Q   Median       3Q      Max
-1572.62  -150.38   -21.70   168.57  2187.84

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) 29.88739   43.68881   0.684    0.494
nu4          1.00036    0.01025  97.599   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 470.9 on 298 degrees of freedom
Multiple R-Squared: 0.9697,     Adjusted R-squared: 0.9696
F-statistic:  9526 on 1 and 298 DF,  p-value: < 2.2e-16

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But I want to access some of these numbers programmatically. I finally
figured out that to get the estimate of the nu4 coefficient I need to do:

----

> lm(nu1~nu4)$coefficients[2]
     nu4
1.000363

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which to me as a long-time C++ programmer is close to black magic (I've
been programming since 1972; I have to say that R is unlike anything I've
ever seen, and it's far from trivial to get my head around some of it --
for example, how I could have known a priori that the above is the way to
get the nu4 coefficient is beyond me). Anyway, having figured out how to
get the estimate of the coefficient, I not-unnaturally wanted also to find
a way to access the std. error of the estimate (the value 0.01025 in the
summary). But I am completely mystified as to how to do it :-(

Any help gratefully (VERY gratefully) received, and I apologise if this is
a really, really stupid question and that the answer lies somewhere in some
documentation that I've obviously not properly taken on board.