dataframe-0.3.4.1: A fast, safe, and intuitive DataFrame library.
Safe HaskellNone
LanguageHaskell2010

DataFrame.Internal.Statistics

Documentation

mean' :: (Real a, Unbox a) => Vector a -> Double Source #

median' :: (Real a, Unbox a) => Vector a -> Double Source #

data VarAcc Source #

Constructors

VarAcc !Int !Double !Double 

Instances

Instances details
Show VarAcc Source # 
Instance details

Defined in DataFrame.Internal.Statistics

Methods

showsPrec :: Int -> VarAcc -> ShowS #

show :: VarAcc -> String #

showList :: [VarAcc] -> ShowS #

varianceStep :: Real a => VarAcc -> a -> VarAcc Source #

computeVariance :: VarAcc -> Double Source #

variance' :: (Real a, Unbox a) => Vector a -> Double Source #

data SkewAcc Source #

Constructors

SkewAcc !Int !Double !Double !Double 

Instances

Instances details
Show SkewAcc Source # 
Instance details

Defined in DataFrame.Internal.Statistics

Methods

showsPrec :: Int -> SkewAcc -> ShowS #

show :: SkewAcc -> String #

showList :: [SkewAcc] -> ShowS #

skewnessStep :: (Unbox a, Num a, Real a) => SkewAcc -> a -> SkewAcc Source #

computeSkewness :: SkewAcc -> Double Source #

skewness' :: (Unbox a, Real a, Num a) => Vector a -> Double Source #

correlation' :: (Real a, Unbox a, Real b, Unbox b) => Vector a -> Vector b -> Maybe Double Source #

quantiles' :: (Unbox a, Num a, Real a) => Vector Int -> Int -> Vector a -> Vector Double Source #

percentile' :: (Unbox a, Num a, Real a) => Int -> Vector a -> Double Source #

interQuartileRange' :: (Unbox a, Num a, Real a) => Vector a -> Double Source #

meanSquaredError :: Vector Double -> Vector Double -> Maybe Double Source #

mutualInformationBinned :: Int -> Vector Double -> Vector Double -> Maybe Double Source #

binIndex :: Double -> Double -> Int -> Double -> Int Source #

bincount :: Int -> Vector Int -> Vector Int Source #

jointBincount :: Int -> Vector Int -> Vector Int -> Vector Int Source #