- mean :: Floating a => [a] -> a
- average :: Floating a => [a] -> a
- harmean :: Floating a => [a] -> a
- geomean :: Floating a => [a] -> a
- median :: (Floating a, Ord a) => [a] -> a
- modes :: Ord a => [a] -> [(Int, a)]
- mode :: Ord a => [a] -> Maybe a
- centralMoment :: (Floating b, Integral t) => [b] -> t -> b
- range :: (Num a, Ord a) => [a] -> a
- avgdev :: Floating a => [a] -> a
- stddev :: Floating a => [a] -> a
- stddevp :: Floating a => [a] -> a
- pvar :: Floating a => [a] -> a
- quantile :: (Fractional b, Ord b) => Double -> [b] -> b
- quantileAsc :: (Fractional b, Ord b) => Double -> [b] -> b
- skew :: Floating b => [b] -> b
- pearsonSkew1 :: (Ord a, Floating a) => [a] -> a
- pearsonSkew2 :: (Ord a, Floating a) => [a] -> a
- covar :: Floating a => [a] -> [a] -> a
- covMatrix :: Floating a => [[a]] -> [[a]]
- pearson :: Floating a => [a] -> [a] -> a
- correl :: Floating a => [a] -> [a] -> a
- linreg :: Floating b => [(b, b)] -> (b, b, b)
- devsq :: Floating a => [a] -> a
Documentation
centralMoment :: (Floating b, Integral t) => [b] -> t -> bSource
Central moments
quantile :: (Fractional b, Ord b) => Double -> [b] -> bSource
Sample variance
Interquartile range
Arbitrary quantile q of an unsorted list. The quantile q of N |data points is the point whose (zero-based) index in the sorted |data set is closest to q(N-1).
quantileAsc :: (Fractional b, Ord b) => Double -> [b] -> bSource
As quantile
specialized for sorted data
pearsonSkew1 :: (Ord a, Floating a) => [a] -> aSource
Calculates pearson skew
pearsonSkew2 :: (Ord a, Floating a) => [a] -> aSource