GY-63_MS5611/libraries/Correlation/Correlation.h

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#pragma once
//
// FILE: Correlation.h
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// AUTHOR: Rob Tillaart
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// VERSION: 0.3.2
// PURPOSE: Calculate Correlation from a small dataset.
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// URL: https://github.com/RobTillaart/Correlation
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#include "Arduino.h"
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#define CORRELATION_LIB_VERSION (F("0.3.2"))
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class Correlation
{
public:
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Correlation(uint8_t size = 20); // WARNING calculate memory usage !!
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~Correlation();
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// returns true if the pair of values is added to internal array.
// returns false when internal array is full.
bool add(float x, float y);
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// administrative functions
uint8_t count() { return _count; };
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uint8_t size() { return _size; };
void clear();
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// in running mode, adding new pair of values will replace old ones
// this constantly adapts the regression parameters A and B (iff calculate is called)
void setRunningCorrelation(bool rc) { _runningMode = rc; };
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bool getRunningCorrelation() { return _runningMode; };
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// worker, to calculate the correlation parameters.
// MUST be called before retrieving the parameters
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// A, B, R, Rsquared, Esquared, avgX and avgY
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//
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// parameter forced overrules the _needRecalculate flag.
// forced is default false to maintain backwards compatibility
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//
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// returns false if contains no elements ==> count() == 0
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bool calculate(bool forced = false);
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// enables / disables R, Rsquared and Esquared calculation
// This can be used to speed up the calculate function if
// these values are not used in your project.
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void setR2Calculation(bool doR2) { _doR2 = doR2; };
bool getR2Calculation() { return _doR2; };
void setE2Calculation(bool doE2) { _doE2 = doE2; };
bool getE2Calculation() { return _doE2; };
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// Y = A + B * X
// note if no elements are added or calculate is not called
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// the values for A and B are 0
float getA() { return _a; };
float getB() { return _b; };
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// getR() returns correlation coefficient (0.2.0 fixed sign)
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float getR() { return _r; };
float getRsquare() { return _r * _r; };
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// returns sum of the errors squared == indication of 'spread'
// the smaller this value the more the points are on/near one line.
float getEsquare() { return _sumErrorSquare; };
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// get the average values of the datasets (if count > 0)
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float getAverageX() { return _avgX; }; // will replace getAvgX() in time
float getAverageY() { return _avgY; }; // will replace getAvgY() in time
// float getAvgX() { return _avgX; }; // obsolete in 0.3.0
// float getAvgY() { return _avgY; }; // obsolete in 0.3.0
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// based on the dataset get the estimated values for X and Y
// it uses the last calculated A and B
// library does not return a confidence interval for these values.
float getEstimateY(float x);
float getEstimateX(float y);
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// STATISTICAL
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// to get bounding box of all x,y pairs.
float getMinX(); // idem
float getMaxX(); // idem
float getMinY(); // idem
float getMaxY(); // idem
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// DEBUGGING - access to internal arrays.
bool setXY(uint8_t index, float x, float y); // returns true if succeeded
bool setX(uint8_t index, float x); // returns true if succeeded
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bool setY(uint8_t index, float y); // returns true if succeeded
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float getX(uint8_t index); // idem
float getY(uint8_t index); // idem
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float getSumXY(); // replaces getSumXiYi()
float getSumX2(); // replaces getSumXi2()
float getSumY2(); // replaces getSumYi2()
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private:
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uint8_t _size = 0;
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uint8_t _index = 0;
uint8_t _count = 0;
bool _runningMode = false;
bool _needRecalculate = true;
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bool _doE2 = true;
bool _doR2 = true;
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float * _x;
float * _y;
float _avgX;
float _avgY;
float _a;
float _b;
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float _div_b;
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float _r;
float _sumErrorSquare;
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float _sumXiYi;
float _sumXi2;
float _sumYi2;
};
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// -- END OF FILE --
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