xsact-1.6: Cluster EST sequences Contents Index

Stats

Description

implement generic statistics functions

Synopsis

data UniVar = UV { uv_samples :: Int mean :: Double stdev :: Double variance :: Double skewness :: Double kurtosis :: Double sumSq :: Double coeffVar :: Double stdErrMn :: Double } uniVar :: [Double] -> UniVar data Quantiles = Qs { wsamples :: Int smallest :: Double quartile1 :: Double median :: Double mode :: [Double] quartile3 :: Double greatest :: Double } quantiles :: [Double] -> Quantiles histogram :: [Double] -> [Double] -> Histogram display :: Histogram -> String

Documentation

data UniVar

Constructors UV uv_samples :: Int mean :: Double stdev :: Double variance :: Double skewness :: Double kurtosis :: Double sumSq :: Double coeffVar :: Double stdErrMn :: Double Instances Show UniVar Statistic UniVar

uniVar :: [Double] -> UniVar

more or less the univariate function from SAS | calculate by tracking n, sum of x, of x, x^3, x^4

data Quantiles

Constructors Qs wsamples :: Int smallest :: Double quartile1 :: Double median :: Double mode :: [Double] quartile3 :: Double greatest :: Double Instances Show Quantiles Statistic Quantiles

quantiles :: [Double] -> Quantiles

histogram :: [Double] -> [Double] -> Histogram

histogram builds a histogram given the list of midpoints

display :: Histogram -> String

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