als-statistics/tests/columns/nominal.test.js

A powerful and lightweight JavaScript library for descriptive statistics, regression, clustering, outlier detection, and noise analysis using a flexible table/column architecture.

const { describe, it } = require('node:test');
const assert = require('node:assert');
const Column = require('../../lib/column/index');

describe('Column class (nominal-like)', () => {
   it('should create a column with valid string values', () => {
      const column = new Column(['A', 'B', 'A', 'C', 'B', 'A']);
      assert.deepStrictEqual(column.values, ['A', 'B', 'A', 'C', 'B', 'A']);
      assert.strictEqual(column.n, 6);
   });

   it('should compute absolute frequencies', () => {
      const column = new Column(['A', 'B', 'A', 'C', 'B', 'A']);
      assert.deepStrictEqual(column.frequencies, { A: 3, B: 2, C: 1 });
   });

   it('should compute relative frequencies', () => {
      const column = new Column(['A', 'B', 'A', 'C', 'B', 'A']);
      assert.deepStrictEqual(column.relativeFrequencies, { A: 3 / 6, B: 2 / 6, C: 1 / 6 });
   });

   it('should respect filtering', () => {
      const column = new Column(['A', 'B', 'A', 'C', 'B', 'A']);
      column.filterRows([0, 4]); // Фильтруем элементы 0 и 4
      
      assert.deepStrictEqual(column.values, ['B', 'A', 'C', 'A']);
      assert.deepStrictEqual(column.frequencies, { A: 2, B: 1, C: 1 });
      assert.deepStrictEqual(column.relativeFrequencies, { A: 2 / 4, B: 1 / 4, C: 1 / 4 });
   });
});