Hi there,
I am trying to plot a line using the ployfit and command
x and y are the coordinates in attached xy the plot.
I can't plot a polyfit curve that reproduces the original.
I alway came up with something different from the original curve.

8 Kommentare

Star Strider
Star Strider am 5 Dez. 2019
Perhaps if you post your code, we can help you find and solve the problem.
dpb
dpb am 5 Dez. 2019
Bearbeitet: dpb am 5 Dez. 2019
Well, there's absolutely no chance the figure was a polynomial that generated it....where did you get it from???
Is there any physical basis for the data that would give a klew as to what the underlying model should be?
p1=polyfit(x,y,3);
x_intrest=[0:0.01:0.8];
y_intrest=polyval(p1,x_intrest);
plot(x_intrest,y_intrest)
Paul Rogers
Paul Rogers am 5 Dez. 2019
yes I got the y from a more complex equation, datas in y are the evalueted point I then wanted to approximated
Guillaume
Guillaume am 5 Dez. 2019
Polynomial fitting is not magical. If the function you want to fit is nothing like a polynomial, as you have here, there's no way you'll find a good fit.
You'll have to try another kind of fit as dpb said and to know what that fit is you need to know some details about what your data represent.
Image Analyst
Image Analyst am 5 Dez. 2019
Can you attach a screenshot? I can't open the .fig file directly from Firefox - it throws an error message when trying to launch MATLAB to display the figure even though MATLAB is already running.
dpb
dpb am 6 Dez. 2019
Here ya' go, IA...xy.jpg
dpb
dpb am 6 Dez. 2019
"I got the y from a more complex equation, ..."
Well, there's the place to start. What makes sense to approximate whatever that is/was.
What restrictions are on the approximation used, if any?

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Paul Rogers
Paul Rogers am 6 Dez. 2019
Bearbeitet: Paul Rogers am 6 Dez. 2019

0 Stimmen

here we are, I think I found the solution.
I can select only a portion of that curve and take the x and y values,
then the code it's this
p1=polyfit(x,y,4);
t_intrest=[0.2:0.1:0.4];
y_intrested=polyval(p1,t_intrest);
plot(x,y);
hold on
plot(t_intrest,y_intrested);
hold on
In attaced the new x and y.
Now it's up to me to find the largest portion possible where I can use polyfit.

5 Kommentare

dpb
dpb am 6 Dez. 2019
"Now it's up to me to find the largest portion possible where I can use polyfit."
Why on earth is that so????
That section would fit a quadratic almost perfectly but still why not use a form that fits the data instead instead of trying to make it complicated?
>> N1=201;N2=401;
>> b=polyfit(x(N1:N2),y(N1:N2),2);
>> hL=plot(x(N1:N2),polyval(b,x(N1:N2)),'r-');
>> xlim([0.15 0.45])
>>
xy.jpg
Paul Rogers
Paul Rogers am 6 Dez. 2019
the thing is that I am trying to use the polyfunction for the larger portion possible of this curve
xy.jpeg
dpb
dpb am 6 Dez. 2019
That's just not feasible.
Guillaume
Guillaume am 6 Dez. 2019
I'm not sure how many times we can say it, your curve is nothing like a polynomial and attempting to fit a polynomial to it is the wrong approach.
To me it looks like your curve may be a log-normal curve. Again, some information on what created that curve could tell you that.
Paul Rogers
Paul Rogers am 6 Dez. 2019
Bearbeitet: Paul Rogers am 6 Dez. 2019
I am trying to find a polynomial approx for that curve. I don't mean on its ooverall domain, it would be good even on a portion of that.
For example, I found that from 0 to 0.8 (more or less), it could be use this method.
P.S.
Thanks everyone for the help.

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