Awesome Statistics
A small library of awesome statistical functions.
Install
You can install Awesome Statistics using npm or yarn.
npm install awesome-statistics --save
or
yarn add awesome-statistics
Use
import awesomeStatistics from 'awesome-statistics'
const points = [
[ 5, 8 ],
[ 9, 9 ],
[ 3, 7 ],
[ 1, 6 ],
[ 5, 1 ]
]
const correlation = awesomeStatistics.correlation(points) // 0.28141Functions
average()
A number expressing the central value in a set of data which is calculated by dividing the sum of the values in the set by their number.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 1, 2, 3, 4, 5, 6 ]
const avg = awesomeStatistics.average(numbers)
console.log(avg)correlation()
A quantity measuring the extent of interdependence of variable quantities.
import awesomeStatistics from 'awesome-statistics'
const points = [
[ 5, 8 ],
[ 9, 9 ],
[ 3, 7 ],
[ 1, 6 ],
[ 5, 1 ]
]
const correlation = awesomeStatistics.correlation(points)
console.log(correlation)median()
The middle number in a sorted list of numbers.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 2, 5, 6, 9, 8, 6, 7, 2, 3 ]
const median = awesomeStatistics.median(numbers)
console.log(median)mode()
The value that occurs most frequently in a given set of data.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 1, 5, 4, 3, 1, 1, 7, 5, 9 ]
const mode = awesomeStatistics.mode(numbers)
console.log(mode)range()
The difference between the lowest and highest values.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 45, 65, 123, 23, 54 ]
const range = awesomeStatistics.range(numbers)
console.log(range)standardDeviation()
A quantity calculated to indicate the extent of deviation for a group as a whole.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 12, 45, 1, 3, 4, 9, 23, 8 ]
const standardDeviation = awesomeStatistics.standardDeviation(numbers)
console.log(standardDeviation)sum()
Adds all of the numbers together.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 1, 2, 3 ]
const sum = awesomeStatistics.sum(numbers)
const sumAgain = awesomeStatistics.sum(numbers, v => v * v)
const sumOnceMore = awesomeStatistics.sum(numbers, v => v + 1, 10)
console.log(sum)
console.log(sumAgain)
console.log(sumOnceMore)variance()
The variance is a measure of how spread out numbers are.
import awesomeStatistics from 'awesome-statistics'
const numbers = [ 5, 12, 4, 2, 8, 4, 9, 29 ]
const variance = awesomeStatistics.variance(numbers)
console.log(variance)Test
yarn run test
More Functions
Leave an issue if there are more functions you would like added. Thanks.
