Copyright	Copyright (c) 2010 Patrick Perry <patperry@gmail.com>
License	BSD3
Maintainer	Patrick Perry <patperry@gmail.com>
Stability	experimental
Safe Haskell	None
Language	Haskell98

Data.Summary.Bool

Contents

Summary type
Properties
- Sum
- Mean
Construction
Insertion
Combination
Conversion
- Lists
- Statistics

Description

Summary statistics for Bools.

Synopsis

Summary type

data Summary Source #

A type for storing summary statistics for a data set of booleans. Specifically, this just keeps track of the number of True events and gives estimates for the success probability. True is interpreted as a one, and False is interpreted as a zero.

Instances

Eq Summary Source #
Methods (==) :: Summary -> Summary -> Bool # (/=) :: Summary -> Summary -> Bool #
Data Summary Source #
Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> Summary -> c Summary # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c Summary # toConstr :: Summary -> Constr # dataTypeOf :: Summary -> DataType # dataCast1 :: Typeable (* -> ) t => (forall d. Data d => c (t d)) -> Maybe (c Summary) # dataCast2 :: Typeable ( -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c Summary) # gmapT :: (forall b. Data b => b -> b) -> Summary -> Summary # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> Summary -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> Summary -> r # gmapQ :: (forall d. Data d => d -> u) -> Summary -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> Summary -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> Summary -> m Summary # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> Summary -> m Summary # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> Summary -> m Summary #
Show Summary Source #
Methods showsPrec :: Int -> Summary -> ShowS # show :: Summary -> String # showList :: [Summary] -> ShowS #
Monoid Summary Source #
Methods mempty :: Summary # mappend :: Summary -> Summary -> Summary # mconcat :: [Summary] -> Summary #

Properties

Sum

size :: Summary -> Int Source #

Number of observations.

sum :: Summary -> Int Source #

Number of True values.

Mean

mean :: Summary -> Double Source #

Proportion of True values.

meanSE :: Summary -> Double Source #

Standard error for the mean (proportion of True values).

meanCI :: Double -> Summary -> (Double, Double) Source #

Central Limit Theorem based confidence interval for the population mean (proportion) at the specified coverage level. The level must be in the range (0,1).