Stat

The aim of this library is to compute statistics for 2D data. In the examples below, xCoord is Data.xCoord.

type alias Statistics =

{ m : Float

, b : Float

, n : Int

, r2 : Float

, xMin : Float

, xMax : Float

, xMean : Float

, yMean : Float

, xStdev : Float

, yStdev : Float

, leftDataPoint : Point

, rightDataPoint : Point

, leftRegressionPoint : Point

, rightRegressionPoint : Point

}

A Statistics value holds information like the mean and standard deviation of the x and y values of Data value (list of points), as well as the coefficients m and b of the regression line, the R^2 value, etc. Compute using statistics data.

mean : (data -> Float) -> List data -> Maybe Float

Compute the mean of a column in a list of data, e.g.,

mean xCoord data

which computes the mean of the x-values.

mode : List comparable -> Maybe ( comparable, Int )

Compute the mode of the data:

> data = [1, 5, 2, 2, 2, 2, 5, 3, 1]
> mode data
  Just (2,4) : Maybe ( number, Int )


> data = ["red", "green", "red", "blue", "blue", "red"]
> mode data
  Just ("red",3) : Maybe ( String, Int )

filter : Filter -> Data -> Data

Apply filters to the data, This is set up as a pipeline so that other filters can be added later. We may have to go with different architectue if we have may filters -- best to avoid too many repeated list traversals.

maximum : (data -> Float) -> List data -> Maybe Float

Compute the maximum of a column in a list of data, e.g.,

maximum xCoord data

which computes the maximum of the x-values.

minimum : (data -> Float) -> List data -> Maybe Float

Compute the minimum of a column in a list of data, e.g.,

minimum xCoord data

which computes the minimum of the x-values.

statistics : Data -> Maybe Statistics

Compute the statistics of a Data value.

stdev : (data -> Float) -> List data -> Maybe Float

Compute the standard deviation of a column in a list of data, e.g.,

stdev xCoord data

which computes the standard deviation of the x-values.

jxxcarlson/elm-stat/4.0.2

Stat

Modules