# statistics-linreg: Linear regression between two samples, based on the 'statistics' package.

[ library, math, mit, statistics ] [ Propose Tags ]

Provides functions to perform a linear regression between 2 samples, see the documentation of the linearRegression functions. This library is based on the statistics package.

• 0.2.2: added the Total-Least-Squares version and made some refactoring to eliminate code duplication

• 0.2.1: added the r-squared version and improved the performances.

Code sample:

import qualified Data.Vector.Unboxed as U

test :: Int -> IO ()
test k = do
let n = 10000000
let a = k*n + 1
let b = (k+1)*n
let xs = U.fromList [a..b]
let ys = U.map (\x -> x*100 + 2000) xs
-- thus 100 and 2000 are the alpha and beta we want
putStrLn "linearRegression:"
print \$ linearRegression xs ys

The r-squared and Total-Least-Squares versions work the same way.

Versions [RSS] [faq] 0.1, 0.2, 0.2.1, 0.2.2, 0.2.3, 0.2.4, 0.3 base (==4.*), MonadRandom (>=0.1), random (>=1.0), random-shuffle (>=0.0.4), safe (>=0.3), statistics (>=0.5), vector (>=0.5) [details] MIT 2010-2012 Alp Mestanogullari Alp Mestanogullari , Uri Barenholz Alp Mestanogullari Math, Statistics http://github.com/alpmestan/statistics-linreg https://github.com/alpmestan/statistics-linreg/issues head: git clone http://github.com/alpmestan/statistics-linreg.git by AlpMestanogullari at 2013-01-05T16:04:03Z NixOS:0.3 11481 total (473 in the last 30 days) 2.0 (votes: 1) [estimated by Bayesian average] λ λ λ Docs uploaded by userBuild status unknown

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