statistics-0.13.1.0: A library of statistical types, data, and functions

Portability portable experimental bos@serpentine.com None

Statistics.Function

Description

Useful functions.

Synopsis

# Scanning

minMax :: Vector v Double => v Double -> (Double, Double)Source

Compute the minimum and maximum of a vector in one pass.

# Sorting

Sort a vector.

gsort :: (Ord e, Vector v e) => v e -> v eSource

Sort a vector.

sortBy :: Vector v e => Comparison e -> v e -> v eSource

Sort a vector using a custom ordering.

Arguments

 :: (Vector v e, Ord e) => Int The number k of least elements. -> v e -> v e

Partially sort a vector, such that the least k elements will be at the front.

# Indexing

indexed :: (Vector v e, Vector v Int, Vector v (Int, e)) => v e -> v (Int, e)Source

Zip a vector with its indices.

indices :: (Vector v a, Vector v Int) => v a -> v IntSource

Return the indices of a vector.

# Bit twiddling

Efficiently compute the next highest power of two for a non-negative integer. If the given value is already a power of two, it is returned unchanged. If negative, zero is returned.

# Comparison

Arguments

 :: Int Number of ULPs of accuracy desired. -> Double -> Double -> Bool

Compare two `Double` values for approximate equality, using Dawson's method.

The required accuracy is specified in ULPs (units of least precision). If the two numbers differ by the given number of ULPs or less, this function returns `True`.

# Arithmetic

Multiply a number by itself.

# Combinators

for :: Monad m => Int -> Int -> (Int -> m ()) -> m ()Source

Simple for loop. Counts from start to end-1.

rfor :: Monad m => Int -> Int -> (Int -> m ()) -> m ()Source

Simple reverse-for loop. Counts from start-1 to end (which must be less than start).