shape = getShape(0.3,0.9,leadTimeMedian,leadTime90);
scale = getScale(0.3,leadTimeMedian,shape);
distribution = randomWeibull(shape,scale);
distributionData = Array.from({length: 5000},distribution)
simData = Array.from({length: 100}, x => simulation())
import {randomWeibull} from "@troymagennis/weibull-distribution"
function getShape(p1, p2, p1Result, p2Result)
{
return (Math.log(-Math.log(1-p2))-Math.log(-Math.log(1-p1)))/(Math.log(p2Result)-Math.log(p1Result))
}
function getScale(p1, p1Result, shape)
{
return p1Result/(Math.pow((-Math.log(1-p1)),(1/shape)));
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
