How to use the quantileSeq function from mathjs

index.js

GitHub: jly36963/notes

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math.lcm(a, b) // least common multiple

// stats
math.max(numbers);
math.min(numbers);
math.quantileSeq([1, 2, 3, 4, 5], .5) // value at quantile

math.mean(numbers);
math.median(numbers);
math.mode(numbers)

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FranceMap.js

GitHub: romaissalmh/elections2022

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let result = []
qSeq.forEach(t => {
	result.push(roundUp(t,1000))
})
setAdsQuantile(result)
qSeq = quantileSeq(data.spendingValues, [1/5, 2/5,3/5,4/5])
result = []
qSeq.forEach(t => {
	result.push(roundUp(t,1000))
})

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methods-erp.js

GitHub: MissDejavu/bci-video-player

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rv = rv.map(v => (v - mean) / std);

const percentage = percentile / 100 / 2;
const min = m.min(rv);
// const min = m.quantileSeq(rv, percentage);
const max = m.max(rv);
// const max = m.quantileSeq(rv, 1 - percentage);
for (let i = 0; i < len; i++) {
    if (rv[i] < min) rv[i] = min;

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QAReport.js

GitHub: markonyango/quasi-express

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// Update global maxNumReads variable
this.maxReads[file] = sortedArray.length

// Calculate quantiles here
let quantiles = quantileSeq(sortedArray, [0.25, 0.5, 0.75], true)
return {
  min: sortedArray[0],
  q1: quantiles[0],
  median: quantiles[1],

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diff-2.js

GitHub: Tex-Tang/node-crypto-bot

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}

if (downcandles >= 3) {
  if (
    candle.close - candle.open > 0 &&
    rate > math.quantileSeq(move, [0.2])[0] &&
    rate < math.quantileSeq(move, [0.7])[0] &&
    !order.openTrades[symbol].openRate
  ) {
    order.buy({ symbol, ...candle });

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+ 7 other calls in file