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https://github.com/SerenityOS/serenity.git
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Spreadsheet: Add a whole bunch of basic statistical functions
This commit is contained in:
AnotherTest
Andreas Kling
parent
facd7fe05b
commit
383ee279ee
1 changed files with 225 additions and 42 deletions
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@ -54,24 +54,6 @@ function select(criteria, t, f) {
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return f;
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return f;
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}
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}
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function sumIf(condition, cells) {
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let sum = null;
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for (let name of cells) {
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let cell = thisSheet[name];
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if (condition(cell)) sum = sum === null ? cell : sum + cell;
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}
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return sum;
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}
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function countIf(condition, cells) {
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let count = 0;
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for (let name of cells) {
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let cell = thisSheet[name];
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if (condition(cell)) count++;
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}
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return count;
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}
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function now() {
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function now() {
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return new Date();
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return new Date();
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}
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}
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@ -92,6 +74,104 @@ function sheet(name) {
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return workbook.sheet(name);
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return workbook.sheet(name);
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}
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}
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function reduce(op, accumulator, cells) {
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for (let name of cells) {
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let cell = thisSheet[name];
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accumulator = op(accumulator, cell);
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}
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return accumulator;
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}
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function numericReduce(op, accumulator, cells) {
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return reduce((acc, x) => op(acc, Number(x)), accumulator, cells);
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}
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function numericResolve(cells) {
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const values = [];
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for (let name of cells) values.push(Number(thisSheet[name]));
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return values;
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}
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function resolve(cells) {
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const values = [];
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for (let name of cells) values.push(thisSheet[name]);
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return values;
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}
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// Statistics
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function sum(cells) {
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return numericReduce((acc, x) => acc + x, 0, cells);
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}
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function sumIf(condition, cells) {
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return numericReduce((acc, x) => (condition(x) ? acc + x : acc), 0, cells);
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}
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function count(cells) {
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return reduce((acc, x) => acc + 1, 0, cells);
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}
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function countIf(condition, cells) {
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return reduce((acc, x) => (condition(x) ? acc + 1 : acc), 0, cells);
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}
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function average(cells) {
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const sumAndCount = numericReduce((acc, x) => [acc[0] + x, acc[1] + 1], [0, 0], cells);
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return sumAndCount[0] / sumAndCount[1];
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}
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function averageIf(condition, cells) {
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const sumAndCount = numericReduce(
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(acc, x) => (condition(x) ? [acc[0] + x, acc[1] + 1] : acc),
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[0, 0],
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cells
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);
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return sumAndCount[0] / sumAndCount[1];
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}
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function median(cells) {
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const values = numericResolve(cells);
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if (values.length == 0) return 0;
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function qselect(arr, idx) {
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if (arr.length == 1) return arr[0];
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const pivot = arr[0];
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const ls = arr.filter(x => x < pivot);
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const hs = arr.filter(x => x > pivot);
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const eqs = arr.filter(x => x === pivot);
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if (idx < ls.length) return qselect(ls, k);
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if (idx < ls.length + eqs.length) return pivot;
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return qselect(hs, idx - ls.length - eqs.length);
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}
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if (values.length % 2) return qselect(values, values.length / 2);
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return (qselect(values, values.length / 2) + qselect(values, values.length / 2 - 1)) / 2;
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}
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function variance(cells) {
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const sumsAndSquaresAndCount = numericReduce(
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(acc, x) => [acc[0] + x, acc[1] + x * x, acc[2] + 1],
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[0, 0, 0],
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cells
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);
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let sums = sumsAndSquaresAndCount[0];
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let squares = sumsAndSquaresAndCount[1];
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let count = sumsAndSquaresAndCount[2];
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return (count * squares - sums * sums) / count;
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}
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function stddev(cells) {
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return Math.sqrt(variance(cells));
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}
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// Cheat the system and add documentation
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// Cheat the system and add documentation
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range.__documentation = JSON.stringify({
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range.__documentation = JSON.stringify({
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name: "range",
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name: "range",
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@ -130,29 +210,6 @@ select.__documentation = JSON.stringify({
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},
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},
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});
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});
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sumIf.__documentation = JSON.stringify({
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name: "sumIf",
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argc: 2,
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argnames: ["condition", "cell names"],
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doc:
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"Calculates the sum of cells the value of which evaluates to true when passed to `condition`",
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examples: {
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'sumIf(x => x instanceof Number, range("A1", "C4"))':
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"Calculates the sum of all numbers within A1:C4",
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},
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});
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countIf.__documentation = JSON.stringify({
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name: "countIf",
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argc: 2,
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argnames: ["condition", "cell names"],
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doc: "Counts cells the value of which evaluates to true when passed to `condition`",
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examples: {
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'countIf(x => x instanceof Number, range("A1", "C4"))':
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"Counts the number of cells which have numbers within A1:C4",
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},
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});
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now.__documentation = JSON.stringify({
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now.__documentation = JSON.stringify({
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name: "now",
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name: "now",
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argc: 0,
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argc: 0,
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@ -199,3 +256,129 @@ sheet.__documentation = JSON.stringify({
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"sheet(0).A0 = 123": "Set the value of the cell A0 in the first sheet to 123",
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"sheet(0).A0 = 123": "Set the value of the cell A0 in the first sheet to 123",
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},
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},
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});
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});
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reduce.__documentation = JSON.stringify({
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name: "reduce",
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argc: 3,
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argnames: ["reduction function", "accumulator", "cells"],
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doc:
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"Reduces the entries in `cells` with repeated applications of the `reduction function` " +
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"to the `accumulator`\n The `reduction function` should be a function of arity 2, taking " +
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"first the accumulator, then the current value, and returning the new accumulator value\n\n" +
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"Please keep in mind that this function respects the cell type, and can yield non-numeric " +
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"values to the `curent value`.",
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examples: {
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'reduce((acc, x) => acc * x, 1, range("A0", "A5"))':
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"Calculate the product of all values in the range A0:A5",
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},
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});
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numericReduce.__documentation = JSON.stringify({
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name: "numericReduce",
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argc: 3,
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argnames: ["reduction function", "accumulator", "cells"],
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doc:
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"Reduces the entries in `cells` with repeated applications of the `reduction function` to the " +
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"`accumulator`\n The `reduction function` should be a function of arity 2, taking first the " +
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"accumulator, then the current value, and returning the new accumulator value\n\nThis function, " +
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"unlike `reduce`, casts the values to a number before passing them to the `reduction function`.",
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examples: {
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'numericReduce((acc, x) => acc * x, 1, range("A0", "A5"))':
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"Calculate the numeric product of all values in the range A0:A5",
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},
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});
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sum.__documentation = JSON.stringify({
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name: "sum",
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argc: 1,
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argnames: ["cell names"],
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doc: "Calculates the sum of the values in `cells`",
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examples: {
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'sum(range("A0", "C4"))': "Calculate the sum of the values in A0:C4",
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},
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});
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sumIf.__documentation = JSON.stringify({
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name: "sumIf",
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argc: 2,
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argnames: ["condition", "cell names"],
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doc:
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"Calculates the sum of cells the value of which evaluates to true when passed to `condition`",
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examples: {
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'sumIf(x => x instanceof Number, range("A1", "C4"))':
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"Calculates the sum of all numbers within A1:C4",
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},
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});
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count.__documentation = JSON.stringify({
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name: "count",
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argc: 1,
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argnames: ["cell names"],
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doc: "Counts the number of cells in the given range",
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examples: {
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'count(range("A0", "C4"))': "Count the number of cells in A0:C4",
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},
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});
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countIf.__documentation = JSON.stringify({
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name: "countIf",
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argc: 2,
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argnames: ["condition", "cell names"],
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doc: "Counts cells the value of which evaluates to true when passed to `condition`",
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examples: {
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'countIf(x => x instanceof Number, range("A1", "C4"))':
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"Count the number of cells which have numbers within A1:C4",
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},
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});
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average.__documentation = JSON.stringify({
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name: "average",
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argc: 1,
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argnames: ["cell names"],
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doc: "Calculates the average of the values in `cells`",
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examples: {
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'average(range("A0", "C4"))': "Calculate the average of the values in A0:C4",
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},
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});
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averageIf.__documentation = JSON.stringify({
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name: "averageIf",
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argc: 2,
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argnames: ["condition", "cell names"],
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doc:
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"Calculates the average of cells the value of which evaluates to true when passed to `condition`",
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examples: {
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'averageIf(x => x > 4, range("A1", "C4"))':
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"Calculate the sum of all numbers larger then 4 within A1:C4",
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},
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});
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median.__documentation = JSON.stringify({
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name: "median",
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argc: 1,
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argnames: ["cell names"],
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doc: "Calculates the median of the numeric values in the given range of cells",
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examples: {
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'median(range("A0", "C4"))': "Calculate the median of the values in A0:C4",
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},
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});
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variance.__documentation = JSON.stringify({
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name: "variance",
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argc: 1,
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argnames: ["cell names"],
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doc: "Calculates the variance of the numeric values in the given range of cells",
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examples: {
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'variance(range("A0", "C4"))': "Calculate the variance of the values in A0:C4",
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},
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});
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stddev.__documentation = JSON.stringify({
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name: "stddev",
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argc: 1,
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argnames: ["cell names"],
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doc: "Calculates the standard deviation of the numeric values in the given range of cells",
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examples: {
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'stddev(range("A0", "C4"))': "Calculate the standard deviation of the values in A0:C4",
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},
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});
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