thank you, david and gabor. very much appreciated. I should have
thought of setting the seed. this was only an example, of course.
alas, such intermittent errors could still be of concern to me,
because I need to simulate this nls() to find out its properties under
the NULL, so I can't easily tolerate errors. fortunately, I had the
window still open, so getting my y's out was easy, and the rounded
figures produce the same nls error.
> cbind(x,round(y,3))
x y
[1,] 1 5.017
[2,] 2 7.993
[3,] 3 11.014
[4,] 4 13.998
[5,] 5 17.003
[6,] 6 19.977
[7,] 7 23.011
[8,] 8 25.991
[9,] 9 29.003
[10,] 10 32.014
[11,] 11 31.995
[12,] 12 32.004
[13,] 13 32.012
[14,] 14 31.994
[15,] 15 31.998
[16,] 16 32.000
[17,] 17 32.009
[18,] 18 31.995
[19,] 19 32.000
[20,] 20 31.982
> r1= nls( y~ a+b*pmin(c,x), start=list(a=2, b=3, c=10), trace=TRUE )
0.002138 : 2 3 10
0.002117 : 2.004 3.000 9.999
0.002113 : 2.006 2.999 10.001
0.002082 : 2.005 2.999 10.000
0.002077 : 2.005 2.999 10.000
0.002077 : 2.005 2.999 10.000
Error in nls(y ~ a + b * pmin(c, x), start = list(a = 2, b = 3, c = 10), :
step factor 0.000488281 reduced below 'minFactor' of 0.000976562
I really don't care about this example, of course---only about
learning how to avoid nls() from dying on me. so, any advice would be
appreciated.
regards,
/iaw
----
Ivo Welch (ivo.we...@brown.edu, ivo.we...@gmail.com)
On Tue, May 4, 2010 at 3:59 PM, David Winsemius <dwinsem...@comcast.net> wrote:
>
> On May 4, 2010, at 3:52 PM, ivo welch wrote:
>
>> thank you, david. indeed. works great (almost). an example for
>> anyone else googling this in the future:
>>
>>> x=1:20
>>> y= 2+3*ifelse(x>10, 10, x)+rnorm(20,0,0.01)
>>> r1= nls( y~ a+b*pmin(c,x), start=list(a=2, b=3, c=10), trace=TRUE )
>>
>> 0.002142 : 2 3 10
>> 0.002115 : 2.004 3.000 10.000
>> 0.002114 : 2.006 2.999 10.001
>> 0.002084 : 2.005 2.999 10.000
>> ...
>> 0.002079 : 2.005 2.999 10.000
>> Error in nls(y ~ a + b * pmin(c, x), start = list(a = 2, b = 3, c = 10),
>> :
>> step factor 0.000488281 reduced below 'minFactor' of 0.000976562
>>
>> strange error, but unrelated to my question. will figure this one out
>> next.
>
> I get no error. May be difficult to sort out unless you can reproduce after
> setting a random seed.
>
>> x=1:20
>> y= 2+3*ifelse(x>10, 10, x)+rnorm(20,0,0.01)
>> r1= nls( y~ a+b*pmin(c,x), start=list(a=2, b=3, c=10), trace=TRUE )
> 0.001560045 : 2 3 10
> 0.001161253 : 2.003824 2.998973 10.000388
> 0.001161253 : 2.003824 2.998973 10.000388
>
> --
> David.
>
>>
>> regards,
>>
>> /iaw
>>
>>
>> On Tue, May 4, 2010 at 3:40 PM, David Winsemius <dwinsem...@comcast.net>
>> wrote:
>>>
>>> On May 4, 2010, at 3:33 PM, ivo welch wrote:
>>>
>>>> Dear R experts---I would like to estimate a non-linear least squares
>>>> expression that looks something like
>>>>
>>>> y ~ a+b*min(c,x)
>>>>
>>>> where a, b, and c are the three parameters. how do I define a min
>>>> function in the formula language of R? advice appreciated.
>>>
>>> ?pmin
>>>
>>>>
>>>> sincerely,
>>>>
>>>> /iaw
>>>>
>>>> ______________________________________________
>>>> 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.
>>>
>>> David Winsemius, MD
>>> West Hartford, CT
>>>
>>>
>
> David Winsemius, MD
> West Hartford, CT
>
>
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