/* * Copyright (c) 2021, Tobias Christiansen * * SPDX-License-Identifier: BSD-2-Clause */ #pragma once #include #include #include #include namespace AK { template class Statistics { public: Statistics() = default; ~Statistics() = default; void add(T const& value) { // FIXME: Check for an overflow m_sum += value; m_values.append(value); } T const sum() const { return m_sum; } float average() const { return (float)sum() / size(); } T const min() const { T minimum = m_values[0]; for (T number : values()) { if (number < minimum) { minimum = number; } } return minimum; } T const max() const { T maximum = m_values[0]; for (T number : values()) { if (number > maximum) { maximum = number; } } return maximum; } // FIXME: Implement a better algorithm T const median() { quick_sort(m_values); return m_values.at(size() / 2); } float standard_deviation() const { return sqrt(variance()); } float variance() const { float summation = 0; float avg = average(); for (T number : values()) { float difference = (float)number - avg; summation += (difference * difference); } summation = summation / size(); return summation; } Vector const& values() const { return m_values; } size_t size() const { return m_values.size(); } private: Vector m_values; T m_sum {}; }; }