40 lines
1.5 KiB
C
40 lines
1.5 KiB
C
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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2020 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "stdlib/stats/base/dstdevyc.h"
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#include "stdlib/stats/base/dvarianceyc.h"
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#include <stdint.h>
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#include <math.h>
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/**
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* Computes the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
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*
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* ## References
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*
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* - Youngs, Edward A., and Elliot M. Cramer. 1971. "Some Results Relevant to Choice of Sum and Sum-of-Product Algorithms." _Technometrics_ 13 (3): 657–65. doi:[10.1080/00401706.1971.10488826](https://doi.org/10.1080/00401706.1971.10488826).
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*
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* @param N number of indexed elements
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* @param correction degrees of freedom adjustment
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* @param X input array
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* @param stride stride length
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* @return output value
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*/
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double stdlib_strided_dstdevyc( const int64_t N, const double correction, const double *X, const int64_t stride ) {
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return sqrt( stdlib_strided_dvarianceyc( N, correction, X, stride ) );
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}
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