Did you know you can fit the curve with little lines instead of a curve and as each line progresses to the next line it's line equation can approach the formula for the next line and decend away from the current line formula giving the property of curve from a linage of small connected lines. The advantage of using little lines is that you can fit the curves with a wider fitting range.
Does anyone know why the "smoothing spline" option isn't available on my MATLAB curve fitting app? I only have the options of custom equation, interpolant, Lowess, and polynomial.
My data need to be presented in x axis (linear scale) and y axis (log scale). During curve fitting, the graph shown here is for linear x and y axis. That fit curve won't be appropriate when y axis si changed to log scale. is there an option to change the axis in the graph during fitting in the curve fit app?
How do i increase the significant figures in the output.. ?? The coefficents of the polynomials are very large, (x10^8) but only 2.s.f are given. I need all s.fs
You will need to create arrays so that matlab recognizes the datas as numeric value. For example if my excel file is DATA.xls with two columns of data A with 5 rows of value, I'd use A=readmatrix('DATA.xls','Range','A1:A5')
I followed all instructions and then generated the code. When I run that code, I get an error: >> createFit Not enough input arguments. Error in createFit (line 18) [xData, yData] = prepareCurveData( myXdata, myYdata ); how can there be an error in Matlab's own generated code and what other argument is it asking for?
Matlab became so smart that the program record videos itself without humans help.
Did you know you can fit the curve with little lines instead of a curve and as each line progresses to the next line it's line equation can approach the formula for the next line and decend away from the current line formula giving the property of curve from a linage of small connected lines. The advantage of using little lines is that you can fit the curves with a wider fitting range.
Does anyone know why the "smoothing spline" option isn't available on my MATLAB curve fitting app? I only have the options of custom equation, interpolant, Lowess, and polynomial.
My data need to be presented in x axis (linear scale) and y axis (log scale). During curve fitting, the graph shown here is for linear x and y axis. That fit curve won't be appropriate when y axis si changed to log scale. is there an option to change the axis in the graph during fitting in the curve fit app?
How do i increase the significant figures in the output.. ?? The coefficents of the polynomials are very large, (x10^8) but only 2.s.f are given. I need all s.fs
Very understandable and well done.
I have a small doubt:
I don't know why but my excel spreadsheet data isn't getting loaded into the workspace area
You will need to create arrays so that matlab recognizes the datas as numeric value. For example if my excel file is DATA.xls with two columns of data A with 5 rows of value, I'd use A=readmatrix('DATA.xls','Range','A1:A5')
Has anybody implemented this exercise for smoothing multiple lines on the same axis?
I followed all instructions and then generated the code. When I run that code, I get an error:
>> createFit
Not enough input arguments.
Error in createFit (line 18)
[xData, yData] = prepareCurveData( myXdata, myYdata );
how can there be an error in Matlab's own generated code and what other argument is it asking for?
Great commentary. Very understandable 👍🏻
Very informative, thank you!
Excellent! Well explained.
How to remove the black dot?
Stupidd
but i like ur spirit
Thank you 🤩
Excellent!
480p? for real?
low resolution