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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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|
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/**
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* AUTO-GENERATED FILE. DO NOT MODIFY.
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*/
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
|
* "License"); you may not use this file except in compliance
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* with the License. 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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function asc(arr) {
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arr.sort(function (a, b) {
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return a - b;
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});
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return arr;
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}
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function quantile(ascArr, p) {
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var H = (ascArr.length - 1) * p + 1;
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var h = Math.floor(H);
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var v = +ascArr[h - 1];
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var e = H - h;
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return e ? v + e * (ascArr[h] - v) : v;
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}
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/**
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* See:
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* <https://en.wikipedia.org/wiki/Box_plot#cite_note-frigge_hoaglin_iglewicz-2>
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* <http://stat.ethz.ch/R-manual/R-devel/library/grDevices/html/boxplot.stats.html>
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*
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* Helper method for preparing data.
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*
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* @param {Array.<number>} rawData like
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* [
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* [12,232,443], (raw data set for the first box)
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* [3843,5545,1232], (raw data set for the second box)
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* ...
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* ]
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* @param {Object} [opt]
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*
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* @param {(number|string)} [opt.boundIQR=1.5] Data less than min bound is outlier.
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* default 1.5, means Q1 - 1.5 * (Q3 - Q1).
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* If 'none'/0 passed, min bound will not be used.
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* @param {(number|string)} [opt.layout='horizontal']
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* Box plot layout, can be 'horizontal' or 'vertical'
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* @return {Object} {
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* boxData: Array.<Array.<number>>
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* outliers: Array.<Array.<number>>
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* axisData: Array.<string>
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* }
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*/
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|
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export default function (rawData, opt) {
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opt = opt || {};
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var boxData = [];
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var outliers = [];
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var axisData = [];
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var boundIQR = opt.boundIQR;
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var useExtreme = boundIQR === 'none' || boundIQR === 0;
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for (var i = 0; i < rawData.length; i++) {
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axisData.push(i + '');
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var ascList = asc(rawData[i].slice());
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var Q1 = quantile(ascList, 0.25);
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var Q2 = quantile(ascList, 0.5);
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var Q3 = quantile(ascList, 0.75);
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var min = ascList[0];
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var max = ascList[ascList.length - 1];
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var bound = (boundIQR == null ? 1.5 : boundIQR) * (Q3 - Q1);
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var low = useExtreme ? min : Math.max(min, Q1 - bound);
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var high = useExtreme ? max : Math.min(max, Q3 + bound);
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boxData.push([low, Q1, Q2, Q3, high]);
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for (var j = 0; j < ascList.length; j++) {
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var dataItem = ascList[j];
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if (dataItem < low || dataItem > high) {
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var outlier = [i, dataItem];
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opt.layout === 'vertical' && outlier.reverse();
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outliers.push(outlier);
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}
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}
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}
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return {
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boxData: boxData,
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outliers: outliers,
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axisData: axisData
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};
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}
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