How to bin x y graph

Hi guys

I have a x, y graph,as shown in picture. I want to combined it to one single curve. Can you please let me know how to do that. I tried using binning but my x and y values are dependent means when I plot only y data it looks different. I will appreciate your help. Thank you

[dpb]

Which toolbox(es) do you have available or base Matlab only? What is the intended end use of the smoothed/single curve?

Answer 1

[Image Analyst]

Combine all the arrays into single x and y arrays, then you can sort the data based on the x values, then use sgolayfilt() in the Signal Processing Toolbox. I've attached an example.

[Parag]

Thank you for your reply and help, really appreciate it. I am able to figure it out, please find the attached code

if true
 bot_edge = min(x);
top_edge = max(x);
no_bins = 5000;
binEdge = linspace(bot_edge,top_edge,no_bins);
[h,whichbin] = histc(x,binEdge);
binmember = 0;
flagbin = 0;
bin_mean = 0;
for i = 1:no_bins
  flagbin = (whichbin == i);
  binmember = y(flagbin);
  bin_mean(i) = mean(binmember);
end
end

[Parag]

I need help with the question posted on below link. I will appreciate if could let me know methode to do planer fit that will be a grate help. At this point I don't have any idea about 2D planer fit. Question is here in this link http://www.mathworks.com/matlabcentral/answers/249190-help-with-2d-planer-fit

[Image Analyst]

It's not the way I would have done it, though it may work. Using the histogram basically gives you quantized data, which is coarser than your original sampling. You use 5000 bins to try to have it be less quantized but with that many bins, you may have many bins with just one value in them, unless you have hundreds or millions of values. So the final mean curve may look kind of noisy. With sgolayfilt() you don't have those problems. First I'd pass the data into interp1() to get uniformly sampled data, then I'd call sgolayfilt() - it's like 2 lines of code.

For fitting a plane, I'd recommend polyfitn() by John D'Errico http://www.mathworks.com/matlabcentral/fileexchange/34765-polyfitn Attached is an example.