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Introducing Enhanced Alert Actions and Triage Functionality
Socket now supports four distinct alert actions instead of the previous two, and alert triaging allows users to override the actions taken for all individual alerts.
stats-incremental
Advanced tools
Readme
A light statstical package for incremental (i.e. rolling, streaming) sets of numbers.
E.g. given a source of numbers of unknown length that you would like to at any given time know any of:
This module can be used either with Node streams
via a wrapper such as through2
or without being streaming.
Non-streaming:
var Stats = require("stats-incremental")
var dice = require("dice")
var s = Stats()
var rolls = []
for (var i = 0; i < 100; i++) {
s.update(dice.sum(dice.roll("2d6")))
console.log(s.getAll())
}
/* E.g.
{ n: 97,
min: 2,
max: 12,
sum: 673,
mean: 6.938144329896907,
variance: 5.851843979168881,
standard_deviation: 2.419058490233107,
sma50: 6.82 }
*/
console.log(s.mean)
console.log(s.standard_deviation)
With streams:
var spigot = require("stream-spigot")
var through2 = require("through2")
var terminus = require("terminus")
var Stats = require("stats-incremental")
var s = Stats()
var statStream = through2.obj(function (chunk, encoding, callback) {
s.update(chunk)
if (s.n % 100000 === 0) {
console.log(s.getAll())
}
this.push(chunk)
callback()
})
spigot.sync({objectMode: true}, Math.random)
.pipe(statStream)
.pipe(terminus.devnull({objectMode: true}))
/*
{ n: 100000,
min: 2.0884908735752106e-7,
max: 0.9999937505926937,
sum: 49861.06196602131,
mean: 0.49861061966021336,
variance: 0.08331362954827709,
standard_deviation: 0.28864100462040576,
sma50: 0.5422519558777934 }
{ n: 200000,
min: 2.0884908735752106e-7,
max: 0.9999937505926937,
sum: 99904.73041411326,
mean: 0.49952365207056687,
variance: 0.08316120223669865,
standard_deviation: 0.2883768406732736,
sma50: 0.4396136475716979 }
*/
const Stats = require("stats-incremental")
var stats = new Stats(smaBins)
Create a new incremental stats aggregator. The smaBins
argument is optional (default 50) and will choose the size of recent window to retain to calculate the Simple Moving Average on the recent data.
stats.update(value)
Update the aggregator with a value. Converted to a Number via parseFloat. If this results in NaN the update is skipped.
stats.getAll()
Get a up-to-date clone of all of the stats stored.
E.g.
{ n: 97,
min: 2,
max: 12,
sum: 673,
mean: 6.938144329896907,
variance: 5.851843979168881,
standard_deviation: 2.419058490233107,
sma50: 6.82 }
stats.n
The count of observations.
stats.min
The min value observed.
stats.max
The max value observed.
stats.sum
The sum of all values observed.
stats.mean
The arithmetic mean of the observations.
stats.variance
The variance from the mean.
stats.standard_deviation
The standard deviation of the values from the mean.
stats.smaXX
Get the Simple Moving Average of the recent data. Default is to store 50 recent records and expose an sma50
property with the simple moving average. If the Stats
object is created with an argument of a number of SMA bins, the property will reflect the number of bins, e.g. Stats(100)
will have an sma100
instead of sma50
property.
stats-lite Operates on complete sets of numbers.
stream-statistics Is a similar module dedicated to streams.
MIT
FAQs
A simple tool for calculating incremental stats on numeric streams.
The npm package stats-incremental receives a total of 277 weekly downloads. As such, stats-incremental popularity was classified as not popular.
We found that stats-incremental demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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