als-statistics/lib/index.js

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

const Table = require('./table/index')
const range = require('./utils/range')
const newColumn = require('./utils/new-column')
class Statistics {
   static range = range
   static statistics = new Statistics('default-statistics')
   static newTable(data) { return new Table(data) }
   static newColumn(values) { return newColumn(values) }
   constructor() {
      this.tables = {}
   }

   addTable(name,obj) { this.tables[name] = new Table(obj); return this.tables[name] }
   filterRows(indexes) { for (let n in this.tables) { this.tables[n].filterRows(indexes) }; return this }
   clearRowsFilters(indexes) { for (let n in this.tables) { this.tables[n].clearRowsFilters(indexes) }; return this }
   clearAllRowsFilters() { for (let n in this.tables) { this.tables[n].clearAllRowsFilters() }; return this }

   descriptive(metricName) {
      const newTable = new Table()
      Object.entries(this.tables).forEach(([name,table]) => {
         newTable.addColumn(name,table.descriptive(metricName,newTable))
      })
      return newTable
   }

   transpose() {
      const newStatistics = new Statistics()
      for (let n in this.tables) { 
         newStatistics.tables[n+'_transposed'] = this.tables[n].transpose(n) 
      }
      return newStatistics
   }
}

module.exports = Statistics