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63 lines
2.4 KiB
C++
63 lines
2.4 KiB
C++
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#ifndef MLPP_STAT_H
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#define MLPP_STAT_H
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//
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// Stat.hpp
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//
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// Created by Marc Melikyan on 9/29/20.
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//
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#include "core/math/math_defs.h"
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#include "../lin_alg/mlpp_matrix.h"
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#include "../lin_alg/mlpp_vector.h"
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#include <vector>
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class MLPPStat {
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public:
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// These functions are for univariate lin reg module- not for users.
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real_t b0Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
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real_t b1Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
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real_t b0_estimation(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
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real_t b1_estimation(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
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// Statistical Functions
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real_t mean(const std::vector<real_t> &x);
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real_t median(std::vector<real_t> x);
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std::vector<real_t> mode(const std::vector<real_t> &x);
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real_t range(const std::vector<real_t> &x);
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real_t midrange(const std::vector<real_t> &x);
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real_t absAvgDeviation(const std::vector<real_t> &x);
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real_t standardDeviation(const std::vector<real_t> &x);
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real_t variance(const std::vector<real_t> &x);
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real_t covariance(const std::vector<real_t> &x, const std::vector<real_t> &y);
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real_t correlation(const std::vector<real_t> &x, const std::vector<real_t> &y);
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real_t R2(const std::vector<real_t> &x, const std::vector<real_t> &y);
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real_t chebyshevIneq(const real_t k);
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real_t meanv(const Ref<MLPPVector> &x);
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real_t variancev(const Ref<MLPPVector> &x);
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real_t covariancev(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
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// Extras
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real_t weightedMean(const std::vector<real_t> &x, const std::vector<real_t> &weights);
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real_t geometricMean(const std::vector<real_t> &x);
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real_t harmonicMean(const std::vector<real_t> &x);
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real_t RMS(const std::vector<real_t> &x);
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real_t powerMean(const std::vector<real_t> &x, const real_t p);
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real_t lehmerMean(const std::vector<real_t> &x, const real_t p);
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real_t weightedLehmerMean(const std::vector<real_t> &x, const std::vector<real_t> &weights, const real_t p);
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real_t contraHarmonicMean(const std::vector<real_t> &x);
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real_t heronianMean(const real_t A, const real_t B);
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real_t heinzMean(const real_t A, const real_t B, const real_t x);
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real_t neumanSandorMean(const real_t a, const real_t b);
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real_t stolarskyMean(const real_t x, const real_t y, const real_t p);
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real_t identricMean(const real_t x, const real_t y);
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real_t logMean(const real_t x, const real_t y);
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};
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#endif /* Stat_hpp */
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