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author | Minteck <contact@minteck.org> | 2022-06-27 17:02:30 +0200 |
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committer | Minteck <contact@minteck.org> | 2022-06-27 17:02:30 +0200 |
commit | eed86d556ccba5d6bfdc8795990f188d0c573fc7 (patch) | |
tree | 3494d9fb204550eb4eba0321b808f771fb6c94e2 /trendline.js | |
parent | d2a4546fdb55ac8dba8d41d3a7dad39e68555c81 (diff) | |
download | bits-client-eed86d556ccba5d6bfdc8795990f188d0c573fc7.tar.gz bits-client-eed86d556ccba5d6bfdc8795990f188d0c573fc7.tar.bz2 bits-client-eed86d556ccba5d6bfdc8795990f188d0c573fc7.zip |
Update
Diffstat (limited to 'trendline.js')
-rw-r--r-- | trendline.js | 104 |
1 files changed, 52 insertions, 52 deletions
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
}
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