[R] How to apply SSfpl with binary data

[baba@muj.biglobe.ne.jp]

Dear Andy and all

Thank you very much for your quick reply.
I misunderstood that SSfpl is for not only numerical response but also binomial response.
You know that the below data includes binary data for four doses.
In fact, I would like to apply a three parameter logistic model with binary data.
I believe that glm is for the fitting to linear models with multiple link functions. 
Again, is that my misunderstanding for glm?

Thanks in Advance 
-Baba

Liaw, Andy wrote:
>Wouldn't you just use glm(..., family=binomial) for binary data?  SSfpl _is_
>for numerical response, where the upper and lower asymptotes need to be
>estimated.  Binary data won't need those as parameters--- they are 1 and 0
>automatically!
>
>V&R's MASS has an example, and a function `dose.p()' for estimating EC50.
>
>Andy
>
>> -----Original Message-----
>> From: baba at muj.biglobe.ne.jp [mailto:baba at muj.biglobe.ne.jp]
>> Sent: Friday, September 27, 2002 12:20 PM
>> To: r-help at stat.math.ethz.ch
>> Subject: [R] How to apply SSfpl with binary data
>>
>>
>> Dear R-help subscribers
>>
>> Would you tell me how to apply SSfpl with binary data as below?
>> Unfortunately, there is not the EXAMPLE in help(SSfpl) for
>> binary data but for quantitative data(Chick).
>>
>> V1: dose
>> V2: log-transformed dose
>> V3: response (rate)
>>
>>       V1         V2        V3
>> 1  0.775 -0.2548922 0.1666667
>> 2  5.000  1.6094379 0.8148148
>> 3 10.000  2.3025851 0.5000000
>> 4 20.000  2.9957323 0.6428571
>>
>> I also attach the error message in R 1.5.1 in following.
>>
>> > targan
>>       V1         V2        V3
>> 1  0.775 -0.2548922 0.1666667
>> 2  5.000  1.6094379 0.8148148
>> 3 10.000  2.3025851 0.5000000
>> 4 20.000  2.9957323 0.6428571
>> > targan.1 <- nls(targan$V3 ~ SSlogis(targan$V2, Asym, xmid,
>> scal), data = targan)
>> Error in solve.qr(a, b, tol) : singular matrix `a' in solve
>>
>> Best and Kind Regards,
>> Baba
>>
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