[R] nls: how do you know if the model is significant?

2012-06-05 Thread Nerak
Hi all,
I'm struggling with nls. How do you know if your model is significant? For a
lm, you get a p-value, but you don't get it for a nls. Is there a way to
calculate it?

For a lm I use this:
  a-summary(lm(model ~obs))
  f.stat-a$fstatistic
  p.value-1-pf(f.stat[value],f.stat[numdf],f.stat[dendf])

Is there something similar for a nls?


The kind of output that I get is:


Formula: y ~ exp.f(x, a, b)

Parameters:
   Estimate Std. Error t value Pr(|t|)
a 1.381e+02  1.192e+01  11.583 3.19e-08 ***
b 1.790e-02  2.459e-03   7.279 6.19e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

Residual standard error: 13.21 on 13 degrees of freedom

Number of iterations to convergence: 6 
Achieved convergence tolerance: 9.123e-06 


I know that my parameters are significant but I need to say something about
the whole model.

Many thanks,
Nerak




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Re: [R] nls: how do you know if the model is significant?

2012-06-05 Thread Bert Gunter
I suggest you consult a local statistician. You could also post to a
statistical help list like stats.stackexchange.com. Your query has
nothing to do with R, but is rather about the meaningfulness (or lack
thereof) of statistical significance in nonlinear modeling.

-- Bert

On Tue, Jun 5, 2012 at 6:49 AM, Nerak nera...@hotmail.com wrote:
 Hi all,
 I'm struggling with nls. How do you know if your model is significant? For a
 lm, you get a p-value, but you don't get it for a nls. Is there a way to
 calculate it?

 For a lm I use this:
  a-summary(lm(model ~obs))
  f.stat-a$fstatistic
  p.value-1-pf(f.stat[value],f.stat[numdf],f.stat[dendf])

 Is there something similar for a nls?


 The kind of output that I get is:


 Formula: y ~ exp.f(x, a, b)

 Parameters:
   Estimate Std. Error t value Pr(|t|)
 a 1.381e+02  1.192e+01  11.583 3.19e-08 ***
 b 1.790e-02  2.459e-03   7.279 6.19e-06 ***
 ---
 Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

 Residual standard error: 13.21 on 13 degrees of freedom

 Number of iterations to convergence: 6
 Achieved convergence tolerance: 9.123e-06


 I know that my parameters are significant but I need to say something about
 the whole model.

 Many thanks,
 Nerak




 --
 View this message in context: 
 http://r.789695.n4.nabble.com/nls-how-do-you-know-if-the-model-is-significant-tp4632401.html
 Sent from the R help mailing list archive at Nabble.com.

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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Re: [R] nls: how do you know if the model is significant?

2012-06-05 Thread mkm1616
Here goes bert again with etiquette lessons.

Why are you so crabby?

On Jun 5, 11:16 am, Bert Gunter gunter.ber...@gene.com wrote:
 I suggest you consult a local statistician. You could also post to a
 statistical help list like stats.stackexchange.com. Your query has
 nothing to do with R, but is rather about the meaningfulness (or lack
 thereof) of statistical significance in nonlinear modeling.

 -- Bert





 On Tue, Jun 5, 2012 at 6:49 AM, Nerak nera...@hotmail.com wrote:
  Hi all,
  I'm struggling with nls. How do you know if your model is significant? For a
  lm, you get a p-value, but you don't get it for a nls. Is there a way to
  calculate it?

  For a lm I use this:
   a-summary(lm(model ~obs))
   f.stat-a$fstatistic
   p.value-1-pf(f.stat[value],f.stat[numdf],f.stat[dendf])

  Is there something similar for a nls?

  The kind of output that I get is:

  Formula: y ~ exp.f(x, a, b)

  Parameters:
    Estimate Std. Error t value Pr(|t|)
  a 1.381e+02  1.192e+01  11.583 3.19e-08 ***
  b 1.790e-02  2.459e-03   7.279 6.19e-06 ***
  ---
  Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

  Residual standard error: 13.21 on 13 degrees of freedom

  Number of iterations to convergence: 6
  Achieved convergence tolerance: 9.123e-06

  I know that my parameters are significant but I need to say something about
  the whole model.

  Many thanks,
  Nerak

  --
  View this message in 
  context:http://r.789695.n4.nabble.com/nls-how-do-you-know-if-the-model-is-sig...
  Sent from the R help mailing list archive at Nabble.com.

  __
  r-h...@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.

 --

 Bert Gunter
 Genentech Nonclinical Biostatistics

 Internal Contact Info:
 Phone: 467-7374
 Website:http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pd...

 __
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 PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.- Hide 
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