Published
Edited
Aug 29, 2022
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9 stars
simulation = {
let N = 5e3;
let c = d3.cumsum(p_vals);
// initialize my counts to zero
let bin_overflows = d3.range(N_cats).map(x => 0);
let any_overflows = 0;
// perform the very simple simulation
for(let ii=0; ii<N; ii++){
let sim_bins = d3.range(N_samples).map(x => d3.randomUniform()()).map(r => N_cats-d3.sum(c.map(cc => r<cc?1:0)))
let sim_bin_count_map = d3.rollups(sim_bins, v => v.length, d => d).map(x => {return({bin: x[0], count: x[1]})})
let sim_bin_overflow = sim_bin_count_map.filter(x => x.count>=N_overflow);
if(sim_bin_overflow.length>0){
any_overflows+=1;
sim_bin_overflow.forEach(x => bin_overflows[x.bin]+=1)
}
}
// return the results
return({bin_overflows:bin_overflows.map(x => x/N),
any_overflows:any_overflows/N})
}
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.
