Calculating the radius of a circle from measurements.
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I am trying to calculate the radius of a circle from a data set of coordinates on the circumference.
To do this I have written a function which takes three data points from the entire set at random (15 data points) and calculates the radius from these then takes three more and so on. It builds a matrix with all the calculated radii and the average and SD are calculated from this.
I do this around 500 times as I feel that this would likely consider all possible combinations; however, this is rather unscientific and alters the statistical analysis I will need to perform to see the variation and whether the measurements are valid.
I want to produce a matrix which will be (n,3) where n is the total number of possible combinations of 3 coordinates from the set of 15 without any repeating 3 coordinates in the same row.
For example:
x = [0; 2; 5; 7; 9]
y = [0; 3; 6; 8; 9]
So we have 5 coordinates but only need 3, so the possible combinations are:
c = [ 1 2 3
1 3 4
1 4 5
1 2 4
1 2 5
1 3 5
and so on...
That way I can make the code calculate every possible radius form the data available with no repeats.
Sorry if this is unclear, I can provide more information if required.
Thanks in advance,
Alex.
5 Comments
Torsten
on 25 Apr 2019
Edited: Torsten
on 25 Apr 2019
The first sentence of your question was
I am trying to calculate the radius of a circle from a data set of coordinates on the circumference.
To do this, you should include all data points in your calculation.
I don't know why you think it's impossible to calculate the standard deviation of the distance of the points from the circle if you proceed as suggested: the distance of a point from the circle is equal to the absolute value of the distance of the point from the midpoint of the circle minus the radius of the circle.
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