time-to-botec/js/node_modules/@stdlib/stats/base/dvariancetk/src/dvariancetk.c
NunoSempere b6addc7f05 feat: add the node modules
Necessary in order to clearly see the squiggle hotwiring.
2022-12-03 12:44:49 +00:00

63 lines
1.5 KiB
C

/**
* @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/dvariancetk.h"
#include <stdint.h>
/**
* Computes the variance of a double-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
*/
double stdlib_strided_dvariancetk( const int64_t N, const double correction, const double *X, const int64_t stride ) {
int64_t ix;
int64_t i;
double dN;
double S2;
double S;
double n;
double v;
dN = (double)N;
n = dN - correction;
if ( N <= 0 || n <= 0.0 ) {
return 0.0 / 0.0; // NaN
}
if ( N == 1 || stride == 0 ) {
return 0.0;
}
if ( stride < 0 ) {
ix = (1-N) * stride;
} else {
ix = 0;
}
S2 = 0.0;
S = 0.0;
for ( i = 0; i < N; i++ ) {
v = X[ ix ];
S2 += v * v;
S += v;
ix += stride;
}
return (S2 - ((S/dN)*S)) / n;
}