Simple visualization of probability distribution

bsconfig.json

@@ -15,6 +15,7 @@
   "suffix": ".bs.js",
   "namespace": true,
   "bs-dependencies": [
+    "@foretold/components",
     "bs-ant-design-alt",
     "reason-react",
     "bs-reform",
@@ -25,5 +26,5 @@
   "refmt": 3,
   "ppx-flags": [
     "lenses-ppx/ppx"
-  ],
+  ]
 }

package.json

@@ -23,6 +23,7 @@
   "license": "MIT",
   "dependencies": {
     "@foretold/cdf": "^1.0.14",
+    "@foretold/components": "^0.0.3",
     "@foretold/guesstimator": "^1.0.10",
     "antd": "3.17.0",
     "autoprefixer": "^9.7.4",
@@ -31,6 +32,7 @@
     "bs-reform": "9.7.1",
     "lenses-ppx": "4.0.0",
     "less": "^3.10.3",
+    "lodash": "^4.17.15",
     "moment": "^2.24.0",
     "parcel-bundler": "^1.12.4",
     "parcel-plugin-less-js-enabled": "^1.0.2",
@@ -42,10 +44,14 @@
     "reschema": "^1.3.0"
   },
   "devDependencies": {
-    "bs-platform": "^5.0.6",
+    "bs-platform": "5.2.1",
     "bsb-js": "^1.1.7",
     "gh-pages": "^2.2.0",
     "moduleserve": "^0.9.0",
     "tailwindcss": "^1.2.0"
+  },
+  "alias": {
+    "react": "./node_modules/react",
+    "react-dom": "./node_modules/react-dom"
   }
 }

src/lib/FormBuilder.re

@@ -51,10 +51,7 @@ module ModelForm = {
             )
          |> ReasonReact.array}
         <div className="bg-green-100 p-2 rounded-sm mt-6 text-lg">
-          {model.run(formState.combo)
+          {model.run(formState.combo) |> E.O.React.fmapOrNull(Value.display)}
-           |> E.O.fmap(Value.to_string)
-           |> E.O.default("")
-           |> ReasonReact.string}
         </div>
       </form>
     </div>;

src/lib/Prop.re

@@ -18,12 +18,43 @@ module Value = {
       | Unselected => ""
       }
     | SelectSingle(r) => r
-    | FloatCdf(r) => r
+    | FloatCdf(r) =>
+      let foo: Types.distribution =
+        CdfLibrary.Distribution.fromString(r, 100);
+      r;
     | Probability(r) => (r *. 100. |> Js.Float.toFixed) ++ "%"
     | DateTime(r) => r |> MomentRe.Moment.defaultFormat
     | FloatPoint(r) => r |> Js.Float.toFixed
     };
   };
+
+  let display = (t: t) => {
+    switch (t) {
+    | BinaryConditional(binaryConditional) =>
+      (
+        switch (binaryConditional) {
+        | Selected(r) => r ? "True" : "False"
+        | Unselected => ""
+        }
+      )
+      |> ReasonReact.string
+    | SelectSingle(r) => r |> ReasonReact.string
+    | FloatCdf(r) =>
+      let cdf: Types.distribution =
+        CdfLibrary.Distribution.fromString(r, 100);
+      <>
+        <ForetoldComponents.CdfChart__Large
+          cdf={Types.toComponentsDist(cdf)}
+          width={Some(400)}
+        />
+        {r |> ReasonReact.string}
+      </>;
+    | Probability(r) =>
+      (r *. 100. |> Js.Float.toFixed) ++ "%" |> ReasonReact.string
+    | DateTime(r) => r |> MomentRe.Moment.defaultFormat |> ReasonReact.string
+    | FloatPoint(r) => r |> Js.Float.toFixed |> ReasonReact.string
+    };
+  };
 };
 
 module Type = {

src/lib/Types.re

@@ -2,3 +2,8 @@ type distribution = {
   xs: array(float),
   ys: array(float),
 };
+
+let toComponentsDist = (d: distribution): ForetoldComponents.Types.Dist.t => {
+  xs: d.xs,
+  ys: d.ys,
+};

src/utility/CdfLibrary.re

@@ -14,26 +14,26 @@ module JS = {
 
   let doAsDist = (f, d: Types.distribution) => d |> distToJs |> f |> jsToDist;
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external cdfToPdf: distJs => distJs = "cdfToPdf";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external pdfToCdf: distJs => distJs = "pdfToCdf";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external findY: (float, distJs) => float = "findY";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external findX: (float, distJs) => float = "findX";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external integral: distJs => float = "integral";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external differentialEntropy: (int, distJs) => distJs =
     "differentialEntropy";
 
-  [@bs.module "./CdfLibraryImporter.js"]
+  [@bs.module "./CdfLibrary.js"]
   external scoreNonMarketCdfCdf: (int, distJs, distJs, float) => distJs =
     "scoreNonMarketCdfCdf";
 

src/utility/GuesstimatorLibrary.js

@@ -1,18 +1,51 @@
 import { Guesstimator } from '@foretold/guesstimator';
 import { Samples } from '@foretold/cdf';
+import _ from 'lodash';
 
-const toPdf = (values, min, max) => {
+/**
+ *
+ * @param {number} minValue
+ * @param {number} maxValue
+ * @returns {string}
+ */
+const minMaxRatio = (minValue, maxValue) => {
+  if (minValue === 0 || maxValue === 0) {
+    return 'SMALL';
+  }
+  const ratio = maxValue / minValue;
+  if (ratio < 100000) {
+    return 'SMALL';
+  } else if (ratio < 10000000) {
+    return 'MEDIUM';
+  } else {
+    return 'LARGE';
+  }
+};
+
+/**
+ * @param samples
+ * @return {string}
+ */
+const ratioSize = samples => {
+  samples.sort();
+  const minValue = samples.getPercentile(2);
+  const maxValue = samples.getPercentile(98);
+  return minMaxRatio(minValue, maxValue);
+};
+
+const toPdf = (values, sampleCount, min, max) => {
   const samples = new Samples(values);
 
   const ratioSize$ = ratioSize(samples);
   const width = ratioSize$ === 'SMALL' ? 20 : 1;
 
-  const pdf = samples.toPdf({ size: 1000, width, min, max });
+  const cdf = samples.toCdf({ size: sampleCount, width, min, max });
-  return {ys:pdf.ys, xs:pdf.xs};
+  return {ys:cdf.ys, xs:cdf.xs};
 };
 
 let run = (text, sampleCount, inputs=[], min=false, max=false) => {
-    let [_error, item] = Guesstimator.parse({ text });
+    console.log(text);
+    let [_error, item] = Guesstimator.parse({ text: "=" + text });
     const { parsedInput } = item;
     const { guesstimateType } = parsedInput;
 
@@ -25,18 +58,13 @@ let run = (text, sampleCount, inputs=[], min=false, max=false) => {
 
     const values = _.filter(value.values, _.isFinite);
 
-    this.setState({
-      value: event.target.value,
-      items: values,
-    });
-
     let update;
     if (values.length === 0) {
       update = {xs: [], ys: []};
     } else if (values.length === 1) {
       update = {xs: [], ys: []};
     } else {
-      update = toPdf(values, min, max);
+      update = toPdf(values, sampleCount, min, max);
     }
     return update;
 }