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w-statistic

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A tool for statistical analysis.

github.com/yuda-lyu/w-statistic

yuda-lyu/w-statistic

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import assert from 'assert' import arrGammaFit from '../src/arrGammaFit.mjs' describe(`arrGammaFit`, function() { let k let kpArr = {} let kpOpt = {} let kpOut = {} k = 0 kpArr[k] = [12, 36, 9, 13, 6, 17, 7, 12, 31, 57, 44, 32, 16, 11, 10, 38, 31, 28, 26, 7, 16, 16, 16, 13, 7, 8, 12, 17, 11, 20, 7, 6, 14, 7, 37, 11, 7, 8, 8, 32, 29, 52, 20, 6, 11, 12, 33, 48, 10, 27, 11, 24, 17, 11, 23, 20, 13, 16, 16, 17, 13, 15, 13, 26, 11, 13, 29, 18, 18, 13, 11, 12, 9, 17, 19, 14, 19, 9, 37, 32, 14, 20, 13, 22, 12, 14, 33, 15, 20, 37, 24, 19, 15, 15, 5, 11, 13, 60, 39, 17, 6, 18, 40, 21, 18, 17, 12, 12, 10, 39, 27, 10, 8, 44, 36, 18, 11, 8, 13, 9, 25, 11, 10, 55, 54, 13, 8, 19, 38, 9, 17, 14, 9, 12, 54, 22, 11, 19, 50, 18, 12, 40, 52, 12, 15, 7, 12, 15, 18, 19, 11, 43, 23, 14, 25, 32, 23, 15, 12, 20, 14, 10, 12, 24, 50, 40, 16, 14, 9, 27, 9, 11, 17, 19, 12, 17, 14, 5, 24, 22, 60, 20, 9, 11, 11, 6, 7, 8, 31, 10, 12, 9, 11, 26, 14, 7, 14, 57, 19, 9, 10, 9, 19, 19, 15, 21, 48, 23, 26, 14, 46, 51, 10, 10, 9, 7, 19, 46, 27, 18, 12, 10, 36, 15, 5, 11, 13, 21, 15, 15, 16, 29, 44, 42, 7, 14, 9, 6, 22, 24, 18, 39, 7, 50, 33, 11, 20, 17, 18, 48, 8, 21, 20, 12, 41, 11, 18, 11, 58, 18, 21, 23, 12, 67, 35] kpOpt[k] = { n: 69, min: 1, max: 70, } kpOut[k] = { arrCounts: [ [1.5, 0, 0.5391538687486649], [2.5, 0, 1.7962366549396136], [3.5, 0, 3.6496228281644183], [4.5, 3, 5.8241969598371295], [5.5, 6, 8.050850888970505], [6.5, 12, 10.116702459548634], [7.5, 8, 11.87765914367292], [8.5, 14, 13.253399694878366], [9.5, 11, 14.215288530920441], [10.5, 21, 14.772679099506087], [11.5, 19, 14.960261704970373], [12.5, 12, 14.827558250265724], [13.5, 13, 14.430829942813553], [14.5, 11, 13.827242726898026], [15.5, 8, 13.07095155953816], [16.5, 11, 12.210712745510621], [17.5, 12, 11.288650328503703], [18.5, 11, 10.339851012584218], [19.5, 9, 9.39252121880613], [20.5, 5, 8.468498318091852], [21.5, 4, 7.583960280136492], [22.5, 5, 6.750221777228556], [23.5, 5, 5.9745399025179875], [24.5, 2, 5.2608797942579475], [25.5, 4, 4.610610715596152], [26.5, 4, 4.023117751242098], [27.5, 1, 3.496324420399798], [28.5, 3, 3.027128206691178], [29.5, 0, 2.6117551424982124], [30.5, 3, 2.2460418640307847], [31.5, 4, 1.9256545303972914], [32.5, 3, 1.6462541008256864], [33.5, 0, 1.4036170069784626], [34.5, 1, 1.1937194734611656], [35.5, 3, 1.0127927927869], [36.5, 3, 0.8573558630200342], [37.5, 2, 0.7242303200818259], [38.5, 3, 0.6105426869017874], [39.5, 3, 0.5137171426696564], [40.5, 1, 0.4314617978258695], [41.5, 1, 0.3617507452461212], [42.5, 1, 0.3028036405593052], [43.5, 3, 0.25306413648863774], [44.5, 0, 0.2111781476150444], [45.5, 2, 0.17597264257921433], [46.5, 0, 0.146435440227838], [47.5, 3, 0.12169631500919359], [48.5, 0, 0.10100958639922931], [49.5, 3, 0.08373826969261944], [50.5, 1, 0.06933979457326575], [51.5, 2, 0.05735324793605729], [52.5, 0, 0.04738806383690151], [53.5, 2, 0.03911406239201894], [54.5, 1, 0.03225272783707576], [55.5, 0, 0.026569611311524], [56.5, 2, 0.021867744289820357], [57.5, 1, 0.017981952404664568], [58.5, 0, 0.014773965516155646], [59.5, 2, 0.012128227378694569], [60.5, 0, 0.009948316477537654], [61.5, 0, 0.008153898063560708], [62.5, 0, 0.006678135764514467], [63.5, 0, 0.005465499160085078], [64.5, 0, 0.004469911226282276], [65.5, 0, 0.0036531864946155574], [66.5, 1, 0.002983717091817672], [67.5, 0, 0.002435369518254178], [68.5, 0, 0.0019865601023468047], [69.5, 0, 0.0016194815643743841] ] } it(`should return ${JSON.stringify(kpOut[k])} when input ${JSON.stringify(kpArr[k])}, ${JSON.stringify(kpOpt[k])}`, async function() { let k = 0 let r = await arrGammaFit(kpArr[k], kpOpt[k]) r = r.arrCounts let rr = kpOut[k] rr = rr.arrCounts assert.strict.deepStrictEqual(r, rr) }) })