Created
May 21, 2013 22:00
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PVector[] vectors = {leftHand, rightHand, leftElbow, rightElbow, leftShoulder, rightShoulder}; | |
// returns m and b as 0 and 1 of an array respectively. | |
float[] fits = bestFit(vectors); | |
// this value is floating all over the place | |
float r2 = rsquare(vectors, fits[0], fits[1]); | |
float rsquare(PVector[] list, float m, float b) { | |
float average = 0.0; | |
for (PVector vector : list) { | |
average += vector.y; | |
} | |
average = average / (float)list.length; | |
float sumtot = 0; | |
float sumerr = 0; | |
float sumreg = 0; | |
for (PVector vector : list) { | |
sumtot += pow(vector.y - average, 2); | |
sumerr += pow(vector.y - vector.x * m + b, 2); | |
sumreg += pow(vector.x * m + b - average, 2); | |
} | |
return 1 - sumerr / sumtot; | |
} | |
// Take a list of PVectors and calculate the slope and y-intercept | |
float[] bestFit(PVector[] list) { | |
float n = (float)list.length; | |
float m = 0; | |
float b = 0; | |
float sumproduct = 0; | |
float sumx = 0; | |
float sumx2 = 0; | |
float sumy = 0; | |
for (PVector v : list) { | |
sumx += v.x; | |
sumx2 += pow(v.x,2); | |
sumy += v.y; | |
sumproduct += v.x * v.y; | |
} | |
m = (sumproduct - (sumx * sumy / n)) / (sumx2 - pow(sumx,2)/n); | |
b = sumy / n - m * sumx / n; | |
float[] response = {m, b}; | |
return response; | |
} |
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