
How to plot a 3D cfit funktion in a 2d plot with isolines.
4 次查看(过去 30 天)
显示 更早的评论
Hi i have the following problem.
I fitted a curve with fit:
it worked and that is my result:
Linear model Poly23:
sf(x,y) = p00 + p10*x + p01*y + p20*x^2 + p11*x*y + p02*y^2 + p21*x^2*y
+ p12*x*y^2 + p03*y^3
Coefficients (with 95% confidence bounds):
p00 = 23.25 (-4.782, 51.29)
p10 = -13.85 (-28.85, 1.159)
p01 = -0.02275 (-0.0584, 0.01289)
p20 = 5.615 (-2.615, 13.85)
p11 = 0.006377 (-0.005635, 0.01839)
p02 = 7.943e-06 (-6.068e-06, 2.195e-05)
p21 = -0.002272 (-0.004391, -0.000152)
p12 = 7.47e-07 (-1.605e-06, 3.099e-06)
p03 = -5.769e-10 (-2.288e-09, 1.134e-09)
So now i want to plot the funtion. In 3D its easy (just plot(sf)),
but i want to have it in 2D with isolines:
sf(x,y)=1200
sf(x,y)=1660
etc.
How can i do that.
contours seems not to work and plot3 either.
in the attachement is the sfit 1x1 for sf.
Greetings from Germany
0 个评论
回答(1 个)
Divyajyoti Nayak
2024-9-6
From what I understand, you are trying to plot contours of different values for the surface defined by ‘sf.mat’. Like you mentioned, the ‘contour’ function cannot be used directly on ‘sf’, but we can recreate the fitted polynomial using the coefficients stored in ‘sf’ and then use the ‘contour’ function to get the isolines. Here’s a simple function to do this:
clc
clear
load 'sf.mat'
figure(1)
plot(sf);
isolines([20,30,40,50],sf)
function isolines(vals,sf)
X = linspace(0,4);
Y = linspace(0,4000);
[x,y] = meshgrid(X,Y);
%Recreating the fitted surface
z = sf.p00 + sf.p10*x + sf.p01*y + sf.p20*x.^2 + sf.p11*x.*y + sf.p02*y.^2 + sf.p21*x.^2.*y + sf.p12*x.*y.^2 + sf.p03*y.^3;
figure(2)
contour(x,y,z,vals);
end
Here are the results:

0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!