From eed86d556ccba5d6bfdc8795990f188d0c573fc7 Mon Sep 17 00:00:00 2001
From: Minteck <contact@minteck.org>
Date: Mon, 27 Jun 2022 17:02:30 +0200
Subject: Update

---
 trendline.js | 104 +++++++++++++++++++++++++++++------------------------------
 1 file changed, 52 insertions(+), 52 deletions(-)

(limited to 'trendline.js')

diff --git a/trendline.js b/trendline.js
index 7e0d7ad..48e2522 100644
--- a/trendline.js
+++ b/trendline.js
@@ -1,53 +1,53 @@
-function getAvg(arr) {
-    const total = arr.reduce((acc, c) => acc + c, 0);
-    return total / arr.length;
-}
-
-function getSum(arr) {
-    return arr.reduce((acc, c) => acc + c, 0);
-}
-
-function trendline(data, xKey, yKey) {
-    const xData = data.map((value) => value[xKey]);
-    const yData = data.map((value) => value[yKey]);
-
-    // average of X values and Y values
-    const xMean = getAvg(xData);
-    const yMean = getAvg(yData);
-
-    // Subtract X or Y mean from corresponding axis value
-    const xMinusxMean = xData.map((val) => val - xMean);
-    const yMinusyMean = yData.map((val) => val - yMean);
-
-    const xMinusxMeanSq = xMinusxMean.map((val) => Math.pow(val, 2));
-
-    const xy = [];
-    for (let x = 0; x < data.length; x++) {
-        xy.push(xMinusxMean[x] * yMinusyMean[x]);
-    }
-
-    // const xy = xMinusxMean.map((val, index) => val * yMinusyMean[index]);
-
-    const xySum = getSum(xy);
-
-    // b1 is the slope
-    const b1 = xySum / getSum(xMinusxMeanSq);
-    // b0 is the start of the slope on the Y axis
-    const b0 = yMean - b1 * xMean;
-
-    return {
-        slope: b1,
-        yStart: b0,
-        calcY: (x) => b0 + b1 * x,
-    };
-}
-
-const averageDelta = ([x,...xs]) => {
-    if (x === undefined)
-        return NaN
-    else
-        return xs.reduce(
-            ([acc, last], x) => [acc + (x - last), x],
-            [0, x]
-        ) [0] / xs.length
+function getAvg(arr) {
+    const total = arr.reduce((acc, c) => acc + c, 0);
+    return total / arr.length;
+}
+
+function getSum(arr) {
+    return arr.reduce((acc, c) => acc + c, 0);
+}
+
+function trendline(data, xKey, yKey) {
+    const xData = data.map((value) => value[xKey]);
+    const yData = data.map((value) => value[yKey]);
+
+    // average of X values and Y values
+    const xMean = getAvg(xData);
+    const yMean = getAvg(yData);
+
+    // Subtract X or Y mean from corresponding axis value
+    const xMinusxMean = xData.map((val) => val - xMean);
+    const yMinusyMean = yData.map((val) => val - yMean);
+
+    const xMinusxMeanSq = xMinusxMean.map((val) => Math.pow(val, 2));
+
+    const xy = [];
+    for (let x = 0; x < data.length; x++) {
+        xy.push(xMinusxMean[x] * yMinusyMean[x]);
+    }
+
+    // const xy = xMinusxMean.map((val, index) => val * yMinusyMean[index]);
+
+    const xySum = getSum(xy);
+
+    // b1 is the slope
+    const b1 = xySum / getSum(xMinusxMeanSq);
+    // b0 is the start of the slope on the Y axis
+    const b0 = yMean - b1 * xMean;
+
+    return {
+        slope: b1,
+        yStart: b0,
+        calcY: (x) => b0 + b1 * x,
+    };
+}
+
+const averageDelta = ([x,...xs]) => {
+    if (x === undefined)
+        return NaN
+    else
+        return xs.reduce(
+            ([acc, last], x) => [acc + (x - last), x],
+            [0, x]
+        ) [0] / xs.length
 }
\ No newline at end of file
-- 
cgit