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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
/**
* AUTO-GENERATED FILE. DO NOT MODIFY.
*/
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
function asc(arr) {
arr.sort(function (a, b) {
return a - b;
});
return arr;
}
function quantile(ascArr, p) {
var H = (ascArr.length - 1) * p + 1;
var h = Math.floor(H);
var v = +ascArr[h - 1];
var e = H - h;
return e ? v + e * (ascArr[h] - v) : v;
}
/**
* See:
* <https://en.wikipedia.org/wiki/Box_plot#cite_note-frigge_hoaglin_iglewicz-2>
* <http://stat.ethz.ch/R-manual/R-devel/library/grDevices/html/boxplot.stats.html>
*
* Helper method for preparing data.
*
* @param {Array.<number>} rawData like
* [
* [12,232,443], (raw data set for the first box)
* [3843,5545,1232], (raw data set for the second box)
* ...
* ]
* @param {Object} [opt]
*
* @param {(number|string)} [opt.boundIQR=1.5] Data less than min bound is outlier.
* default 1.5, means Q1 - 1.5 * (Q3 - Q1).
* If 'none'/0 passed, min bound will not be used.
* @param {(number|string)} [opt.layout='horizontal']
* Box plot layout, can be 'horizontal' or 'vertical'
* @return {Object} {
* boxData: Array.<Array.<number>>
* outliers: Array.<Array.<number>>
* axisData: Array.<string>
* }
*/
export default function (rawData, opt) {
opt = opt || {};
var boxData = [];
var outliers = [];
var axisData = [];
var boundIQR = opt.boundIQR;
var useExtreme = boundIQR === 'none' || boundIQR === 0;
for (var i = 0; i < rawData.length; i++) {
axisData.push(i + '');
var ascList = asc(rawData[i].slice());
var Q1 = quantile(ascList, 0.25);
var Q2 = quantile(ascList, 0.5);
var Q3 = quantile(ascList, 0.75);
var min = ascList[0];
var max = ascList[ascList.length - 1];
var bound = (boundIQR == null ? 1.5 : boundIQR) * (Q3 - Q1);
var low = useExtreme ? min : Math.max(min, Q1 - bound);
var high = useExtreme ? max : Math.min(max, Q3 + bound);
boxData.push([low, Q1, Q2, Q3, high]);
for (var j = 0; j < ascList.length; j++) {
var dataItem = ascList[j];
if (dataItem < low || dataItem > high) {
var outlier = [i, dataItem];
opt.layout === 'vertical' && outlier.reverse();
outliers.push(outlier);
}
}
}
return {
boxData: boxData,
outliers: outliers,
axisData: axisData
};
}