@tracerbench/stats - npm Package Compare versions

Comparing version 5.3.5 to 5.3.6

dist/src/confidence-interval.js

@@ -6,2 +6,3 @@ "use strict";
 const jStat = require("jstat");
+const utils_1 = require("./utils");
 /**
@@ -77,5 +78,5 @@ * Difference of x and y
         asPercent: {
-            percentMin: +((deltas[lowerU] / aMedian) * 100).toPrecision(4),
-            percentMedian: (_a = +((medianDeltas / aMedian) * 100).toPrecision(4)) !== null && _a !== void 0 ? _a : 0,
-            percentMax: +((deltas[upperU] / aMedian) * 100).toPrecision(4)
+            percentMin: utils_1.toNearestHundreth((deltas[lowerU] / aMedian) * 100),
+            percentMedian: (_a = utils_1.toNearestHundreth((medianDeltas / aMedian) * 100)) !== null && _a !== void 0 ? _a : 0,
+            percentMax: utils_1.toNearestHundreth((deltas[upperU] / aMedian) * 100)
         }
@@ -82,0 +83,0 @@ };

dist/src/stats.js

@@ -37,3 +37,3 @@ "use strict";
         this.confidenceInterval = this.getConfidenceInterval(this.controlSorted, this.experimentSorted, confidenceLevel);
-        this.estimator = Math.round(this.getHodgesLehmann(this.controlSorted, this.experimentSorted));
+        this.estimator = utils_1.toNearestHundreth(this.getHodgesLehmann(this.controlSorted, this.experimentSorted));
         this.sevenFigureSummary = {
@@ -40,0 +40,0 @@ control: this.getSevenFigureSummary(this.controlSorted),

package.json

 {
   "name": "@tracerbench/stats",
-  "version": "5.3.5",
+  "version": "5.3.6",
   "description": "Stats class written in TS-Node",
@@ -66,3 +66,3 @@ "keywords": [
   "engine": "node >= 10",
-  "gitHead": "40719b764fb97dea8bc1b9f561988b4bf5d29083"
+  "gitHead": "185adcb7eff9beb637dd03789c4d50493546331e"
 }

src/confidence-interval.ts

@@ -5,2 +5,3 @@ import { median } from 'd3-array';
 import type { IConfidenceInterval } from './stats';
+import { toNearestHundreth } from './utils';
 /**
@@ -102,7 +103,7 @@ * Difference of x and y
     asPercent: {
-      percentMin: +((deltas[lowerU] / aMedian) * 100).toPrecision(4),
-      percentMedian: +((medianDeltas / aMedian) * 100).toPrecision(4) ?? 0,
-      percentMax: +((deltas[upperU] / aMedian) * 100).toPrecision(4)
+      percentMin: toNearestHundreth((deltas[lowerU] / aMedian) * 100),
+      percentMedian: toNearestHundreth((medianDeltas / aMedian) * 100) ?? 0,
+      percentMax: toNearestHundreth((deltas[upperU] / aMedian) * 100)
     }
   };
 }

src/stats.ts

@@ -147,3 +147,3 @@ import { cross, histogram, mean, quantile } from 'd3-array';
     );
-    this.estimator = Math.round(
+    this.estimator = toNearestHundreth(
       this.getHodgesLehmann(this.controlSorted, this.experimentSorted) as number
@@ -150,0 +150,0 @@ );

No alert changes

Improved metrics

Total package byte prevSize

234564

increased by0.04%

Lines of code

1419

increased by0.14%

No dependency changes