/** * @license Apache-2.0 * * Copyright (c) 2020 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "stdlib/stats/base/svariancetk.h" #include /** * Computes the variance of a single-precision floating-point strided array using a one-pass textbook algorithm. * * @param N number of indexed elements * @param correction degrees of freedom adjustment * @param X input array * @param stride stride length * @return output value */ float stdlib_strided_svariancetk( const int64_t N, const float correction, const float *X, const int64_t stride ) { int64_t ix; int64_t i; double dN; double n; float S2; float S; float v; dN = (double)N; n = dN - (double)correction; if ( N <= 0 || n <= 0.0f ) { return 0.0f / 0.0f; // NaN } if ( N == 1 || stride == 0 ) { return 0.0f; } if ( stride < 0 ) { ix = (1-N) * stride; } else { ix = 0; } S2 = 0.0f; S = 0.0f; for ( i = 0; i < N; i++ ) { v = X[ ix ]; S2 += v * v; S += v; ix += stride; } return (double)(S2 - ( (float)((double)S/dN) * S ) ) / n; }