ml-spectra-processing - npm Package Compare versions

Comparing version 1.0.0 to 1.1.0

History.md

		@@ -0,1 +1,17 @@
		# [1.1.0](https://github.com/cheminfo/spectra-processing/compare/v0.6.1...v1.1.0) (2019-12-13)


		### Bug Fixes

		* export X.getFromToIndex ([39e16c3](https://github.com/cheminfo/spectra-processing/commit/39e16c346031524676b2ef76f94df96ffd2c601a))


		### Features

		* add optimize in reduce ([b00a6ce](https://github.com/cheminfo/spectra-processing/commit/b00a6cea4d6f263b431f319b405d52bf37ac02df))
		* add xyObject ([dcd8c44](https://github.com/cheminfo/spectra-processing/commit/dcd8c445a2909300204e5b1b61d6fcdc6ab0e876))
		* export X.findClosestIndex ([f5321b3](https://github.com/cheminfo/spectra-processing/commit/f5321b30652003eb97ac72d38cbaf4d9814ce168))



		## [0.6.1](https://github.com/cheminfo/spectra-processing/compare/v0.6.0...v0.6.1) (2019-11-13)
		@@ -2,0 +18,0 @@

lib/index.js

		@@ -871,2 +871,34 @@ 'use strict';
		/**
		* Calculates the correlation between 2 vectors
		* https://en.wikipedia.org/wiki/Correlation_and_dependence
		*
		* @param {Array} [A] - the array that will be rotated
		* @param {Array} [B]
		* @return {Array}
		*/
		function correlation(A, B) {
		let n = A.length;
		let sumA = 0;
		let sumA2 = 0;
		let sumB = 0;
		let sumB2 = 0;
		let sumAB = 0;
		for (let i = 0; i < n; i++) {
		let a = A[i];
		let b = B[i];
		sumA += a;
		sumA2 += a ** 2;
		sumB += b;
		sumB2 += b ** 2;
		sumAB += a * b;
		}
		return (
		(n * sumAB - sumA * sumB) /
		(Math.sqrt(n * sumA2 - sumA ** 2) * Math.sqrt(n * sumB2 - sumB ** 2))
		);
		}

		/**

		/**
		* This function divide the first array by the second array or a constant value to each element of the first array
		@@ -986,39 +1018,9 @@ * @param {Array} array1 - the array that will be rotated

		/**

		/**
		* Calculates the correlation between 2 vectors
		* https://en.wikipedia.org/wiki/Correlation_and_dependence
		*
		* @param {Array} [A] - the array that will be rotated
		* @param {Array} [B]
		* @return {Array}
		*/
		function correlation(A, B) {
		let n = A.length;
		let sumA = 0;
		let sumA2 = 0;
		let sumB = 0;
		let sumB2 = 0;
		let sumAB = 0;
		for (let i = 0; i < n; i++) {
		let a = A[i];
		let b = B[i];
		sumA += a;
		sumA2 += a ** 2;
		sumB += b;
		sumB2 += b ** 2;
		sumAB += a * b;
		}
		return (
		(n * sumAB - sumA * sumB) /
		(Math.sqrt(n * sumA2 - sumA ** 2) * Math.sqrt(n * sumB2 - sumB ** 2))
		);
		}

		const X = {
		add,
		boxPlot,
		correlation,
		divide,
		findClosestIndex,
		getFromToIndex,
		getTargetIndex,
		@@ -1028,3 +1030,2 @@ multiply,
		subtract,
		correlation,
		};
		@@ -1031,0 +1032,0 @@

package.json

		{
		"name": "ml-spectra-processing",
		"version": "1.0.0",
		"version": "1.1.0",
		"description": "Various method to process spectra",
		@@ -5,0 +5,0 @@ "main": "lib/index.js",

src/x/index.js

		import { add } from './add';
		import { boxPlot } from './boxPlot';
		import { correlation } from './correlation';
		import { divide } from './divide';
		import { findClosestIndex } from './findClosestIndex';
		import { getFromToIndex } from './getFromToIndex';
		import { getTargetIndex } from './getTargetIndex';
		@@ -9,3 +11,2 @@ import { multiply } from './multiply';
		import { subtract } from './subtract';
		import { correlation } from './correlation';

		@@ -15,4 +16,6 @@ export const X = {
		boxPlot,
		correlation,
		divide,
		findClosestIndex,
		getFromToIndex,
		getTargetIndex,
		@@ -22,3 +25,2 @@ multiply,
		subtract,
		correlation,
		};

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