Data.Summary.Double

Summary statistics for Doubles.

Summary type

data Summary

A type for storing summary statistics for a data set including sample size, min and max values, and first and second moments.

Instances

Eq Summary

Methods

(==) :: Summary -> Summary -> Bool

(/=) :: Summary -> Summary -> Bool

Data Summary

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

Methods

showsPrec :: Int -> Summary -> ShowS

show :: Summary -> String

showList :: [Summary] -> ShowS

Monoid Summary

Methods

mempty :: Summary

mappend :: Summary -> Summary -> Summary

mconcat :: [Summary] -> Summary

Properties

Sum

size :: Summary -> Int

Number of observations.

sum :: Summary -> Double

Sum of values.

sumSquaredErrors :: Summary -> Double

Sum of squared errors (x[i] - mean)^2.

Mean

mean :: Summary -> Double

Mean value.

meanSE :: Summary -> Double

Standard error of the mean.

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

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

Scale

stddev :: Summary -> Double

Sample standard deviation.

variance :: Summary -> Double

Sample variance.

Extremes

maximum :: Summary -> Double

Maximum value.

minimum :: Summary -> Double

Minimum value.

Construction

empty :: Summary

An empty summary.

singleton :: Double -> Summary

Summarize a single value.

Insertion

insert :: Double -> Summary -> Summary

Update the summary with a data point. Running mean and variance computed as in Knuth, Vol 2, page 232, 3rd edition, see http://www.johndcook.com/standard_deviation.html for a description.

insertWith :: (a -> Double) -> a -> Summary -> Summary

Apply a function and update the summary with the result.

Combination

union :: Summary -> Summary -> Summary

Take the union of two summaries. Use the updating rules from Chan et al. "Updating Formulae and a Pairwise Algorithm for Computing Sample Variances," available at http://infolab.stanford.edu/pub/cstr/reports/cs/tr/79/773/CS-TR-79-773.pdf.

unions :: [Summary] -> Summary

Take the union of a list of summaries.

Conversion

Lists

fromList :: [Double] -> Summary

Get a summary of a list of values.

fromListWith :: (a -> Double) -> [a] -> Summary

Map a function over a list of values and summarize the results.

Statistics

toStats :: Summary -> (Int, Double, Double, Double, Double)

Convert to (size, mean, sumSquaredErrors, minimum, maximum).

fromStats :: Int -> Double -> Double -> Double -> Double -> Summary

Convert from (size, mean, sumSquaredErrors, minimum, maximum). No validation is performed.