w-statistic
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A tool for statistical analysis.
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<h2><a href="index.html">Home</a></h2><h3>Classes</h3><ul><li><a href="w-statistic.html">w-statistic</a><ul class='methods'><li data-type='method'><a href="w-statistic.html#.arrAverage">arrAverage</a></li><li data-type='method'><a href="w-statistic.html#.arrAverageWithLogNormCI">arrAverageWithLogNormCI</a></li><li data-type='method'><a href="w-statistic.html#.arrAverageWithNormCI">arrAverageWithNormCI</a></li><li data-type='method'><a href="w-statistic.html#.arrCount">arrCount</a></li><li data-type='method'><a href="w-statistic.html#.arrGammaFit">arrGammaFit</a></li><li data-type='method'><a href="w-statistic.html#.arrGammaHist">arrGammaHist</a></li><li data-type='method'><a href="w-statistic.html#.arrGammaInv">arrGammaInv</a></li><li data-type='method'><a href="w-statistic.html#.arrGeometricAverage">arrGeometricAverage</a></li><li data-type='method'><a href="w-statistic.html#.arrGeometricStd">arrGeometricStd</a></li><li data-type='method'><a href="w-statistic.html#.arrLogNormHist">arrLogNormHist</a></li><li data-type='method'><a href="w-statistic.html#.arrLogNormInv">arrLogNormInv</a></li><li data-type='method'><a href="w-statistic.html#.arrMovingAverage">arrMovingAverage</a></li><li data-type='method'><a href="w-statistic.html#.arrNormHist">arrNormHist</a></li><li data-type='method'><a href="w-statistic.html#.arrNormInv">arrNormInv</a></li><li data-type='method'><a href="w-statistic.html#.arrQuartile">arrQuartile</a></li><li data-type='method'><a href="w-statistic.html#.arrStd">arrStd</a></li><li data-type='method'><a href="w-statistic.html#.bin">bin</a></li><li data-type='method'><a href="w-statistic.html#.histGen">histGen</a></li><li data-type='method'><a href="w-statistic.html#.regLine">regLine</a></li><li data-type='method'><a href="w-statistic.html#.regMpLine">regMpLine</a></li><li data-type='method'><a href="w-statistic.html#.regPoly">regPoly</a></li><li data-type='method'><a href="w-statistic.html#.regPower">regPower</a></li><li data-type='method'><a href="w-statistic.html#.sampleRandom">sampleRandom</a></li><li data-type='method'><a href="w-statistic.html#.studentTInv">studentTInv</a></li></ul></li></ul>
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<h1 class="page-title">arrGeometricStd.mjs</h1>
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<pre class="prettyprint source linenums"><code>import size from 'lodash-es/size.js'
import isarr from 'wsemi/src/isarr.mjs'
import arrFilterByPnumAndToLog from 'wsemi/src/arrFilterByPnumAndToLog.mjs'
import arrStd from './arrStd.mjs'
/**
* 計算陣列內有效數字之幾何標準差
*
* Unit Test: {@link https://github.com/yuda-lyu/w-statistic/blob/master/test/arrGeometricStd.test.js Github}
* @memberOf w-statistic
* @param {Array} arr 輸入陣列，只提取有效數字(或為字串的數字)進行計算
* @returns {Number} 回傳幾何標準差
* @example
*
* let arr
*
* arr = ['abc', '-2.5', -2.5, '-1', -1, '-0.1', -0.1, '0', 0, '0.1', 0.1, '1', 1, '2.5', 2.5, 22.5, 'xyz']
* console.log(arrGeometricStd(arr))
* // => 6.774243857996147
*
* arr = ['abc', '0', 0, '0.1', 0.1, '1', 1, '2.5', 2.5, 22.5, 'xyz']
* console.log(arrGeometricStd(arr))
* // => 6.774243857996147
*
*/
function arrGeometricStd(arr) {
//check
if (!isarr(arr)) {
return null
}
if (size(arr) === 0) {
return null
}
//取大於0且轉log數值
let rs = arrFilterByPnumAndToLog(arr)
//n
let n = size(rs)
//check
if (n === 0) {
return null
}
//check
if (n <= 1) {
// throw new Error('至少要2點才能計算')
return null
}
//r
// let r = 0
// each(rs, (v) => {
// r += (Math.log(v / geoAvg)) ** 2
// })
// r /= (n - 1)
// r = Math.sqrt(r)
// r = Math.exp(r)
let sigma = arrStd(rs) //sigma為樣本標準差(用n-1)
let r = Math.exp(sigma)
return r
}
export default arrGeometricStd
</code></pre>
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