The OpenD Programming Language

wmean.wmean

mir stat descriptive weighted wmean
  1. meanType!F wmean(SliceA s, SliceB w)
    template wmean(F, AssumeWeights assumeWeights, Summation summation = Summation.appropriate, G = F, Summation weightsSummation = Summation.appropriate)
    @fmamath
    meanType!F
    wmean
    (
    SliceA
    SliceB
    )
    (
    SliceA s
    ,
    SliceB w
    )
    if (
    isConvertibleToSlice!SliceA &&
    isConvertibleToSlice!SliceB
    )
    if (
    !is(F : AssumeWeights)
    )
  2. meanType!Range wmean(Range r)
  3. template wmean(F, Summation summation = Summation.appropriate, AssumeWeights assumeWeights = AssumeWeights.primary, G = F, Summation weightsSummation = Summation.appropriate)
  4. template wmean(Summation summation = Summation.appropriate, AssumeWeights assumeWeights = AssumeWeights.primary, Summation weightsSummation = Summation.appropriate)
  5. template wmean(F, bool assumeWeights, string summation = "appropriate", G = F, string weightsSummation = "appropriate")
  6. template wmean(bool assumeWeights, string summation = "appropriate", string weightsSummation = "appropriate")
  7. template wmean(F, string summation, bool assumeWeights = false, G = F, string weightsSummation = "appropriate")
  8. template wmean(string summation, bool assumeWeights = false, string weightsSummation = "appropriate")
  9. template wmean(F, string summation, G, string weightsSummation, bool assumeWeights)
  10. template wmean(string summation, string weightsSummation, bool assumeWeights = false)

Parameters

s SliceA

slice-like

w SliceB

weights

Meta

Source

See Implementation

mir stat descriptive weighted wmean functions
Page generated by adrdox