I'm in a situation where I need to compare the accuracy of one stress-strain curve with respect to the other, with both curves having different x and y coordinates. If both curves have the same x-coordinates (independent variable) and varying y-coordinates (dependent variable), I could use the R squared value or the Weighted Least Squares (WLS) method.
I'm trying to avoid interpolation as there are many values and would be a very tedious task.
Any help is appreciated :)
Dear Janeshka Goonewardena,
I suggest you to see links on subject.
https://skill-lync.com/projects/polynomial-curve-fitting-using-matlab-program
https://www.mdpi.com/1996-1944/13/1/77/pdf
https://academic.oup.com/gji/article/168/2/449/686110
https://www.graphpad.com/support/faq/i-have-multiple-data-sets-and-the-x-values-are-not-identical-among-all-sets-how-do-i-enter-data-into-prism/
https://www.nature.com/articles/s41598-020-72465-x
Best regards
Try to calculate the correlation coefficient. If the curves are completely similar, its value will be 1. Otherwise, the correlation coefficient will be less than 1.
Thank you for all your answers. It is much appreciated :)
I stumbled upon a software called 'Origin Lab' that gets the job done.
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