Hi!

When checking validity of a model for a large number
of experimental data I thought it to be interesting
to check the information provided by
the summary method programmatically.

Still I could not find out which method to
use to get to those data.

Example (not my real world data, but to show the point):

[BEGIN]
> DNase1 <- subset(DNase, Run == 1)
> fm1DNase1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal), DNase1)
> summary(fm1DNase1)

Formula: density ~ SSlogis(log(conc), Asym, xmid, scal)

Parameters:
     Estimate Std. Error t value Pr(>|t|)    
Asym  2.34518    0.07815   30.01 2.17e-13 ***
xmid  1.48309    0.08135   18.23 1.22e-10 ***
scal  1.04146    0.03227   32.27 8.51e-14 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 0.01919 on 13 degrees of freedom

Number of iterations to convergence: 0 
Achieved convergence tolerance: 3.302e-06 
[END]

now i would like something like
> property(fm1DNase1,'Asym','StErr')
[1] 0.07815

> property(fm1DNase1,'xmid','Pr')
[1] 1.22e-10

I hope you understand the point (and yes,
I read manuals, tried help(), read through
the archives), sorry if still this is trivial :P

wfG

George

+---
| Dr. Georg Dobrozemsky
| Dept. of. Nuclear Medicine
| Med. Univ. Vienna
+---


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