Thanks very much William,
That's exactly what I need! It is so excellent to do it by a
group-separation by [] syntax.
Thanks again!
Best regards,
Jianling
On 9 September 2015 at 11:15, William Dunlap wrote:
> You can put all your data in one data.frame along with a column called, say,
>
Well..
1) To add to Duncan's comments, if you create a new "dataset" discrete
factor column to indicate the dataset in the combined data, then you
would fit the model dataset/(corrected denominator).
2) However, there **is** a statistical issue here, for if you have
more than a "few" data sets, s
You can put all your data in one data.frame along with a column called, say,
'group' that says which group each row is in. Then use the [] syntax in
nls's
formula argument to get group-specific estimates for some of the parameters.
E.g., in the following there is a global parameter 'b' and a group
On 09/09/2015 12:28 PM, Jianling Fan wrote:
> Hi, Bert
>
> Thanks for your reply.
>
> I am fitting a logistic does response model with 3 parameters as :
> y=a/(1+(x/x0)b), I have many sets of data. I can fit each of them for
> the model. but I want them shared the parameter x0 and b, but varied
>
Hi, Bert
Thanks for your reply.
I am fitting a logistic does response model with 3 parameters as :
y=a/(1+(x/x0)b), I have many sets of data. I can fit each of them for
the model. but I want them shared the parameter x0 and b, but varied
for each a.
I don't think it is a statistics problem. It
Jianling:
1. What models are you trying to fit? Details matter, and it is
impossible to give a good answer without specifics.
2. In general terms, to do this one combines all the data and allows
for "appropriate" changes in the model parameters for the different
groups. For example, different int
Hello all,
I am trying to fit my data to a nls model. I have many sets of data
and each can fit well for the curve. but I want to fit them at once by
sharing 2 of 3 parameters of the model. I know it is a typical global
curve fitting problem, but I don't know how to do it by R?
Does anyone know a
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