computes the stats about the period lengths, started tests
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export default function getPeriodLengthStats(cycleLengthArray) {
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if (Array.isArray(cycleLengthArray) && (cycleLengthArray.length > 0) && cycleLengthArray.every(cycleLength => {
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return (typeof cycleLength === 'number') && !(isNaN(cycleLength))
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})) {
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const PeriodLengthStats = {}
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const sortedCycleLegthArray = cycleLengthArray.sort((a, b) => {
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return a - b
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})
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PeriodLengthStats.minimum = sortedCycleLegthArray[0]
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PeriodLengthStats.maximum = sortedCycleLegthArray[cycleLengthArray.length - 1]
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PeriodLengthStats.mean = cycleLengthArray.reduce(getSum) / cycleLengthArray.length
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// median
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if (cycleLengthArray.length % 2 == 1) {
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PeriodLengthStats.median = sortedCycleLegthArray[(cycleLengthArray.length + 1) / 2 - 1]
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}
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else {
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const middle = cycleLengthArray.length / 2
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PeriodLengthStats.median = (sortedCycleLegthArray[middle - 1] + sortedCycleLegthArray[middle]) / 2
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}
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PeriodLengthStats.stdDeviation = 0 // default
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if (cycleLengthArray.length > 1) {
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const sumOfSquares = cycleLengthArray.map(cycleLength => {
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return Math.pow(cycleLength - PeriodLengthStats.mean, 2)
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}).reduce(getSum)
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PeriodLengthStats.stdDeviation = Math.sqrt(sumOfSquares / (cycleLengthArray.length - 1 ))
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}
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return PeriodLengthStats
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}
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console.error('getPeriodLengthStats requiers an array of numbers with length > 0.')
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}
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function getSum(total, num) {
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return total + num
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}
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@@ -0,0 +1,16 @@
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import chai from 'chai'
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import periodInfo from '../lib/period-length'
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const expect = chai.expect
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describe('it calculates the median correctly', () => {
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it('works for an odd-numbered array', () => {
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const periodLengths = [1, 2, 5, 99, 100]
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const result = periodInfo(periodLengths).median
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expect(result).to.eql(5)
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})
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/* it('works for an even-numbered array', () => {
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}) */
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})
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