The OpenD Programming Language

KurtosisAccumulator

mir stat descriptive univariate
  1. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)
  2. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)
  3. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)
  4. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)
    struct KurtosisAccumulator (
    T
    KurtosisAlgo kurtosisAlgo
    Summation summation
    ) if (
    isMutable!T &&
    kurtosisAlgo == KurtosisAlgo.threePass
    ) {
    struct Summator(T, Summation summation) via import mir.math.sum : elementType, Summator;;
    eponymoustemplate isConvertibleToSlice(T) via import mir.ndslice.slice : isConvertibleToSlice, isSlice, Slice, SliceKind;;
    eponymoustemplate isSlice(T) via import mir.ndslice.slice : isConvertibleToSlice, isSlice, Slice, SliceKind;;
    alias Slice = mir_slice via import mir.ndslice.slice : isConvertibleToSlice, isSlice, Slice, SliceKind;;
    alias SliceKind = mir_slice_kind via import mir.ndslice.slice : isConvertibleToSlice, isSlice, Slice, SliceKind;;
    enum bool isInputRange(R, E); via import std.range : isInputRange;;
    alias S = Summator!(T, summation);
    this(Slice!(Iterator, N, kind) slice);
    this(SliceLike x);
    this(Range range);
    size_t count();
    F mean();
    F variance(bool isPopulation);
    F centeredSumOfSquares();
    F centeredSumOfCubes();
    F centeredSumOfQuarts();
    F scaledSumOfCubes();
    F scaledSumOfQuarts();
    F scaledSumOfCubes(bool isPopulation);
    F scaledSumOfQuarts(bool isPopulation);
    F skewness(bool isPopulation);
    F kurtosis(bool isPopulation, bool isRaw);
    }
  5. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)
  6. struct KurtosisAccumulator(T, KurtosisAlgo kurtosisAlgo, Summation summation)

Constructors

this
this(Slice!(Iterator, N, kind) slice)
this
this(SliceLike x)
this
this(Range range)

Members

Aliases

S
alias S = Summator!(T, summation)

Functions

centeredSumOfCubes
F centeredSumOfCubes()
centeredSumOfQuarts
F centeredSumOfQuarts()
centeredSumOfSquares
F centeredSumOfSquares()
count
size_t count()
kurtosis
F kurtosis(bool isPopulation, bool isRaw)
mean
F mean()
scaledSumOfCubes
F scaledSumOfCubes()
scaledSumOfCubes
F scaledSumOfCubes(bool isPopulation)
scaledSumOfQuarts
F scaledSumOfQuarts(bool isPopulation)
scaledSumOfQuarts
F scaledSumOfQuarts()
skewness
F skewness(bool isPopulation)
variance
F variance(bool isPopulation)

Examples

threePass

import mir.math.common: approxEqual;
import mir.ndslice.slice: sliced;

auto x = [0.0, 1.0, 1.5, 2.0, 3.5, 4.25,
          2.0, 7.5, 5.0, 1.0, 1.5, 0.0].sliced;

auto v = KurtosisAccumulator!(double, KurtosisAlgo.threePass, Summation.naive)(x);
assert(v.kurtosis(true, true).approxEqual(38.062853 / 12));
assert(v.kurtosis(true, false).approxEqual(38.062853 / 12 - 3.0));
assert(v.kurtosis(false, true).approxEqual(38.062853 / 12 * (11.0 * 13.0) / (10.0 * 9.0) - 3.0 * (11.0 * 11.0) / (10.0 * 9.0)) + 3.0);
assert(v.kurtosis(false, false).approxEqual(38.062853 / 12 * (11.0 * 13.0) / (10.0 * 9.0) - 3.0 * (11.0 * 11.0) / (10.0 * 9.0)));

Meta

Source

See Implementation

mir stat descriptive univariate enumsfunctionsstructstemplates
Page generated by adrdox