Minor cleanup
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parent
089dfeeef2
commit
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20
src/lib/Chart.re
Normal file
20
src/lib/Chart.re
Normal file
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@ -0,0 +1,20 @@
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[@react.component]
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let make =
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(
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~data,
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~minX=None,
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~maxX=None,
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~width=300,
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~height=50,
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~color=`hex("7e9db7"),
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) =>
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<ForetoldComponents.CdfChart__Base
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width=0
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height
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?minX
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?maxX
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marginBottom=20
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showVerticalLine=false
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showDistributionLines=false
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primaryDistribution=data
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/>;
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@ -40,10 +40,7 @@ module Value = {
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let cdf: Types.distribution =
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CdfLibrary.Distribution.fromString(r, 2000);
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<>
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<ForetoldComponents.CdfChart__Large
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cdf={Types.toComponentsDist(cdf)}
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width={Some(400)}
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/>
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<Chart data={cdf |> CdfLibrary.Distribution.toPdf |> Types.toJs} />
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{r |> ReasonReact.string}
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</>;
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| Probability(r) =>
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@ -3,6 +3,10 @@ type distribution = {
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ys: array(float),
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};
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let toJs = (t: distribution) => {
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{"xs": t.xs, "ys": t.ys};
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};
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let toComponentsDist = (d: distribution): ForetoldComponents.Types.Dist.t => {
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xs: d.xs,
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ys: d.ys,
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@ -14,4 +18,37 @@ type cdf = distribution;
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let foo = (b: pdf) => 3.9;
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let bar: cdf = {xs: [||], ys: [||]};
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let cc = foo(bar);
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let cc = foo(bar);
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module LimitedDomainCdf = {
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type t = {
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distribution,
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domainMaxX: float,
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};
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let fromCdf = (cdf: cdf, domainMaxX: float, probabilityAtMaxX: float) => {
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let distribution: distribution = {
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xs: cdf.xs,
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ys: cdf.ys |> E.A.fmap(r => r *. probabilityAtMaxX),
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};
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{distribution, domainMaxX};
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};
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let _lastElement = (a: array('a)) =>
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switch (Belt.Array.size(a)) {
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| 0 => None
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| n => Belt.Array.get(a, n)
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};
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let probabilityBeforeDomainMax = (t: t) => _lastElement(t.distribution.ys);
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let chanceByX = (t: t) => t.distribution;
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let domainMaxX = (t: t) => t.domainMaxX;
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// let probabilityDistribution = (t: t) =>
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// t.distribution |> CdfLibrary.Distribution.toPdf;
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// let probability = (t: t, xPoint: float) =>
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// CdfLibrary.Distribution.findY(xPoint, probabilityDistribution(t));
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// let cumulativeProbability = (t: t, xPoint: float) =>
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// CdfLibrary.Distribution.findY(xPoint, t.distribution);
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};
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@ -44,7 +44,6 @@ const toPdf = (values, sampleCount, min, max) => {
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};
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let run = (text, sampleCount, inputs=[], min=false, max=false) => {
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console.log(text);
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let [_error, item] = Guesstimator.parse({ text: "=" + text });
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const { parsedInput } = item;
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const { guesstimateType } = parsedInput;
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