correlation coefficient for a non-linear fit

2011 2 1
4 个回答
更新时间：2021 7 27
11 次查看（30 天）

0 个投票

Does anyone know how to compute the correlation coefficient between two vectors, which are not linearly correlated? At the moment, I use a polynomial fit (order 3) between two vectors. It seems that corrcoeff compute it only for linear fits. Thanks a lot!

请先登录，再回答此问题。

回答（4 个）

the cyclist
the cyclist 2011-2-1

1 个投票

There are several options for correlation coefficients besides Pearson's (which is probably the most commonly used). Did you want to compute Kendall's tau or Spearman's rho? If so, then you can use the function CORR, and set the appropriate parameter. If that's not what you want, you'll need to supply some more details. (You might try searching the File Exchange, as well.)
Richard Willey
Richard Willey 2011-2-2

1 个投票

Hi Marina
You might find the following blog posting of interest. (It shows some interesting ways to use Curve Fitting Toolbox)
http://blogs.mathworks.com/loren/2011/01/13/data-driven-fitting/
Mariana
Mariana 2011-2-2

0 个投票

Thanks! It seems (sorry for forgetting some statistics) that correlation coefficient is defined as a strength between two variables which are linearly correlated. I would like to have something describing the "goodness of a fit" (which can be linear, polynomial, exponential etc). I will take a look at the curve fitting toolbox.
Mariana
Mariana 2011-2-2

0 个投票

I found. "fit" does the job (we get rsquare among the statistics).

1 个评论
显示 -1更早的评论 隐藏 -1更早的评论

Ameen Bassam
Ameen Bassam 2021-7-27
Is rsquare valid for nonlinear regression ??
It is invalid according to this
https://statisticsbyjim.com/regression/r-squared-invalid-nonlinear-regression/

请先登录，再进行评论。

类别

在 帮助中心 和 File Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by