Fitting every fifth datapoint one after another
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Hello!
I want to do a linear regression for a bunch of data, using every fifth or third (maybe tenth) Datapoint. The data will be vary in size and therefor I need to do a function that varies as well.
I did the poly1-fit to the first 13 data already by typing it for each fit. Can you think of any way to solve it via function maybe a loop to solve this seccessively for any size of x- or y-datapoints.
I will be happy for any kind of response that helps me to solve this problem.
Thanks a lot!
The result should look like this for more datapoints:
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dbmn
on 8 Nov 2016
I have a solution that avoids the loops altogehter, but might not be as readable
n = 5; % Number of datapoints
x1 = reshape(x, n, []); % please make sure, that your number will be divisable into n Elements
y1 = reshape(y, n, []);
a = (x1-x1(1,:))\(y1-y1(1,:)); % we use mldivide here and correct for the origin
a = a(1,:);
b = y1(1,:) - a.*x1(1,:); % here we shifted back
b is the offset and a the slope of your curves
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