The avatar for @i001962
I001962
Published
Edited
Jan 9, 2021
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histogram(gunStatsForHisto, 600, 300, 'Actual Distribution', 30)
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Math.max(...simulatedDist)
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Math.max(...gunStatsCrossCheck)
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gunStatsCrossCheck = {
let msgArry = [];

let sumFunction = async function(b) {
return b[1]; // grab only second field in array *******IMPORTANT
};

// recentGunStats.all.msg.forEach(async function(msg) {
recentGunStats.all[gunStatsFieldIn].forEach(async function(msg) {
msgArry.push(await sumFunction(msg));
histogram1.recordValue(await sumFunction(msg));
return msg[0];
});
return msgArry;
}
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md`# Code Details in no special order`
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histogram1.totalCount
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gunStatsField = recentGunStats.all[gunStatsFieldIn]
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d3format = require("d3-format@1")
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import { button } from "@jashkenas/inputs"
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import {select} from "@jashkenas/inputs"

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HDRando(1234, 0)
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import { histogram } from '@jonhelfman/histogram'
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JSHistogram = require('https://bundle.run/hdr-histogram-js@2.0.1')
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import { metalog, HDRando } from '@i001962/correlated-metalog-using-copulas'
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import {slider} from "@jashkenas/inputs"

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Plotly = require("https://cdn.plot.ly/plotly-latest.min.js")
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// d3 = require("d3", "d3-array@^2.2")
d3 = require("d3@6", "d3-array@^2.2")
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import { kde, epanechnikov } from "@d3/kernel-density-estimation"
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mutable startValue = 20
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x = jStat.seq(0.01, 100, trials)
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trials = 100
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statsCollection = new Object()
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