{-# LANGUAGE DeriveDataTypeable #-} -- | -- Module : Statistics.Distribution.Uniform -- Copyright : (c) 2011 Aleksey Khudyakov -- License : BSD3 -- -- Maintainer : bos@serpentine.com -- Stability : experimental -- Portability : portable -- -- Variate distributed uniformly in the interval. module Statistics.Distribution.Uniform ( UniformDistribution , uniformDistr ) where import Data.Typeable (Typeable) import qualified Statistics.Distribution as D -- | Uniform distribution data UniformDistribution = UniformDistribution {-# UNPACK #-} !Double {-# UNPACK #-} !Double deriving (Eq,Show,Read,Typeable) -- | Create uniform distribution. uniformDistr :: Double -> Double -> UniformDistribution uniformDistr a b | b < a = uniformDistr b a | a < b = UniformDistribution a b | otherwise = error "Statistics.Distribution.Uniform.uniform: wrong parameters" -- NOTE: failure is in default branch to guard againist NaNs. instance D.Distribution UniformDistribution where cumulative (UniformDistribution a b) x | x < a = 0 | x > b = 1 | otherwise = (x - a) / (b - a) instance D.ContDistr UniformDistribution where density (UniformDistribution a b) x | x < a = 0 | x > b = 0 | otherwise = 1 / (b - a) quantile (UniformDistribution a b) p | p >= 0 && p <= 1 = a + (b - a) * p | otherwise = error $ "Statistics.Distribution.Uniform.quantile: p must be in [0,1] range. Got: "++show p instance D.Mean UniformDistribution where mean (UniformDistribution a b) = 0.5 * (a + b) instance D.Variance UniformDistribution where -- NOTE: 1/sqrt 12 is not constant folded (#4101) so it's written as -- numerical constant. (Also FIXME!) stdDev (UniformDistribution a b) = 0.2886751345948129 * (b - a) variance (UniformDistribution a b) = d * d / 12 where d = b - a instance D.MaybeMean UniformDistribution where maybeMean = Just . D.mean instance D.MaybeVariance UniformDistribution where maybeStdDev = Just . D.stdDev