# 2D data fitting using fit and fittype

조회 수: 60(최근 30일)
Bruno Rosinus Serrano 2021년 2월 15일
편집: Abhishek Gupta 2021년 2월 18일
Hello everyone,
I have a 60x60 2D data set which I want to fit using the fit and fittype function, according to fitobject = fit([x,y],z,fitType).
my arrays are:
x = [1:60]
y = [1:60]
and z is a 60x60 array.
(When I use theese arrays in the curve fitting App it works perfectly fine for fittype: 'poly33'.)
I use the fit function as follows:
Fit_Background = fit([x',y],z,'poly33');
For that I get the following error:
Error using horzcat
Dimensions of arrays being concatenated are not consistent.
What am I doing wrong?

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### 답변(1개)

Abhishek Gupta 2021년 2월 18일
편집: Abhishek Gupta 2021년 2월 18일
Hi,
As per my understanding, you are getting an error while fitting the data in x, y, and z. Note that the x, y, z are the column vectors of the same dimension in the 'fit' function. In your case, you can do the same as follows: -
x = [1:60]'; % column vector
y = [1:60]'; % column vector
X = repmat(x,60,1); % get x for all values of z
Y = repelem(y,60); % get y for all values of z
z = rand(60,60); % replace this z with your 60x60 array
Z = z(:); % make z a column vector
Fit_Background = fit([X,Y],Z,'poly33'); % fit

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