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bins: Aggregate continuous values into discrete bins

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Please see the README on GitHub at https://github.com/mstksg/bins#readme

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Versions [RSS] 0.1.0.0, 0.1.1.0, 0.1.1.1, 0.1.2.0
Change log CHANGELOG.md
Dependencies base (>=4.7 && <5), containers, finite-typelits, ghc-typelits-knownnat, ghc-typelits-natnormalise, math-functions, profunctors, reflection, tagged, vector-sized (>=1.0) [details]
Tested with ghc >=8.2
License BSD-3-Clause
Copyright (c) Justin Le 2018
Author Justin Le
Maintainer justin@jle.im
Category Math
Home page https://github.com/mstksg/bins#readme
Bug tracker https://github.com/mstksg/bins/issues
Source repo head: git clone https://github.com/mstksg/bins
Uploaded by jle at 2019-10-04T21:17:51Z
Distributions NixOS:0.1.2.0
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 2278 total (19 in the last 30 days)
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Status Docs uploaded by user [build log]
Last success reported on 2019-10-04 [all 3 reports]

Readme for bins-0.1.2.0

[back to package description]

bins

Bin continuous values into discrete containers in an interval, useful for histograms.

Usage

-- divide into 10 bins between 5 and 50, logarithmically
ghci> withBinner (logBS @10 5 50) $ \toBin -> do
        print (toBin 1)
        print (toBin 30)
        print (binIx (toBin 30))
        print (toBin 100)

Bin (-inf .. 5.0)       -- 1 is outside of range
Bin [25.06 .. 31.55)    -- 30 is inside bin enclosed by 25.06 and 31.55
PElem (Finite 7)        -- 30 is in Bin #7 (indexed from 0)
Bin [50 .. -inf)        -- 100 is outside of range

-- Generate a histogram based on the bins from valules in a list
ghci> xs = [1..100] :: [Double]
ghci> withBinner (logBS @10 5 50) $ \toBin -> do
         mapM_ (\(b, n) -> putStrLn (displayBinDouble 4 b ++ "\t" ++ show n))
       . M.toList
       $ binFreq toBin xs

(-inf .. 5.0000)        4
[5.0000 .. 6.2946)      2
[6.2946 .. 7.9245)      1
[7.9245 .. 9.9763)      2
[9.9763 .. 12.5594)     3
[12.5594 .. 15.8114)    3
[15.8114 .. 19.9054)    4
[19.9054 .. 25.0594)    6
[25.0594 .. 31.5479)    6
[31.5479 .. 39.7164)    8
[39.7164 .. 50.0000)    10
[50.0000 .. +inf)       51