flesh out docs and pass golint
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29
ostat.go
29
ostat.go
@ -1,6 +1,6 @@
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// ostat is a go package that implements the efficient, accurate, and stable
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// calculation of online statistical quantities. The algorithm comes from *The
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// Art of Computer Programing*, vol 2 by Knuth
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// Package ostat is a go package that implements the efficient, accurate, and
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// stable calculation of online statistical quantities. The algorithm comes
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// from *The Art of Computer Programing*, vol 2 by Knuth
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package ostat
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import (
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@ -20,6 +20,7 @@ const (
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Sample
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)
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// OnlineStat keeps track of online statistics.
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type OnlineStat struct {
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n uint64
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mean float64
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@ -29,6 +30,10 @@ type OnlineStat struct {
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typ uint64
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}
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// NewSampleStat returns a ready-to-use OnlineStat for calculating sample
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// statistics.
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//
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// For the distinction between NewSampleStat and NewPopulationStat please refer to https://en.wikipedia.org/wiki/Statistical_population
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func NewSampleStat() *OnlineStat {
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return &OnlineStat{
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Min: math.Inf(1),
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@ -37,6 +42,10 @@ func NewSampleStat() *OnlineStat {
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}
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}
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// NewPopulationStat returns a ready-to-use OnlineStat for calculating
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// population statistics.
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//
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// For the distinction between NewSampleStat and NewPopulationStat please refer to https://en.wikipedia.org/wiki/Statistical_population
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func NewPopulationStat() *OnlineStat {
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return &OnlineStat{
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Min: math.Inf(1),
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@ -45,6 +54,9 @@ func NewPopulationStat() *OnlineStat {
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}
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}
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// MidStreamStat populates an OnlineStat such that it can pick up where
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// a previous one left off.
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//
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// Let's say you have already stored some values and want to start an
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// OnlineStat mid-stream; This is the function for you! Just provide it with
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// the data in the sinature, and you'll get a properly initialized OnlineStat.
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@ -60,9 +72,9 @@ func MidStreamStat(n uint64, mean, stddev, min, max float64, typ uint64) *Online
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}
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}
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// this is how you feed new values into your OnlineStat.
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// Push is how you feed new values into an OnlineStat.
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func (os *OnlineStat) Push(v float64) {
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os.n += 1
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os.n++
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if v < os.Min {
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os.Min = v
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}
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@ -75,7 +87,7 @@ func (os *OnlineStat) Push(v float64) {
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os.m2 = os.m2 + delta*(v-os.mean)
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}
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// http://en.wikipedia.org/wiki/Expected_value
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// Mean as defined by http://en.wikipedia.org/wiki/Expected_value.
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func (os *OnlineStat) Mean() float64 {
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if os.n == 0 {
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return 0.0
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@ -83,7 +95,7 @@ func (os *OnlineStat) Mean() float64 {
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return os.mean
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}
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// http://en.wikipedia.org/wiki/Variance
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// Variance as defined by http://en.wikipedia.org/wiki/Variance
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func (os *OnlineStat) Variance() float64 {
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if os.n == 0 {
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return 0.0
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@ -91,6 +103,7 @@ func (os *OnlineStat) Variance() float64 {
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return os.m2 / float64(os.n-os.typ)
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}
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// StdDev is the standard deviation as defined by
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// http://en.wikipedia.org/wiki/Variance
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func (os *OnlineStat) StdDev() float64 {
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return math.Sqrt(os.Variance())
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@ -105,6 +118,7 @@ func (os *OnlineStat) CI() (float64, float64) {
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return os.mean - dev*conf, os.mean + dev*conf
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}
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// N returns how many values have been Pushed into an OnlineStat.
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func (os *OnlineStat) N() uint64 {
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return os.n
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}
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@ -130,6 +144,7 @@ func (os *OnlineStat) String() string {
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)
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}
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// MarshalJSON is implemented for convenient encoding to json.
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func (os *OnlineStat) MarshalJSON() ([]byte, error) {
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s := struct {
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N uint64 `json:"n"`
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