Estimation statistics, craft beer, data visualization, web scraping, poetry
// compute effect size
effSize = d3.mean(test) - d3.mean(control)
// compute effect size jackknives
effsizeJacks = twoGroupJackknife(control, test)
// compute acceleration from effect size jackknives
a = getAcceleration(effsizeJacks)
// create bootstraps of effect size
boots = twoGroupsEffectSizeBootstraps(control, test)
// using the effect size and its bootstraps, compute the bias
b = getBias(effSize, boots)
// using the bias, acceleration, and bootstraps, compute the BCa intervals
bca = getBCAIndexes(b, a, boots.length)
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.
