dojox/math/stats.js

• Provides:

  • dojox.math.stats

• dojox.math.stats.sd

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the standard deviation of the passed arguments.

  • type

    Function

• dojox.math.stats.variance

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Find the variance in the passed array of numbers.

  • type

    Function

• dojox.math.stats.bestFit

  • parameters:
    • a: (typeof Object[])

      || Number[]

    • xProp: (typeof String)
    • yProp: (typeof String)
  • returns

    Object

  • summary

    Calculate the slope and intercept in a linear fashion.  An array
    of objects is expected; optionally you can pass in the property
    names for "x" and "y", else x/y is used as the default.  If you
    pass an array of numbers, it will be mapped to a set of {x,y} objects
    where x = the array index.

  • type

    Function

• dojox.math.stats.forecast

  • parameters:
    • a: (typeof Object[])

      || Number[]

    • x: (typeof Number)
    • xProp: (typeof String)
    • yProp: (typeof String)
  • returns

    Number

  • summary

    Using the bestFit algorithm above, find y for the given x.

  • type

    Function

• dojox.math.stats.mean

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the mean value in the passed array.

  • type

    Function

• dojox.math.stats.min

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the min value in the passed array.

  • type

    Function

• dojox.math.stats.max

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the max value in the passed array.

  • type

    Function

• dojox.math.stats.median

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the value closest to the middle from a sorted version of the passed array.

  • type

    Function

• dojox.math.stats.mode

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Returns the mode from the passed array (number that appears the most often).
    This is not the most efficient method, since it requires a double scan, but
    is ensures accuracy.

  • type

    Function

• dojox.math.stats.sum

  • parameters:
    • a: (typeof Number[])
  • returns

    Number

  • summary

    Return the sum of all the numbers in the passed array.  Does
    not check to make sure values within a are NaN (should simply
    return NaN).

  • type

    Function

• dojox.math.stats.approxLin

  • parameters:
    • a: (typeof Number[]:)

      a sorted numeric array to be used for the approximation.

    • pos: (typeof Number:)

      a position number from 0 to 1. If outside of this range it
      will be clamped.

  • returns

    Number

  • summary

    Returns a linearly approximated value from an array using
    a normalized float position value.

  • return_summary

    Number

  • type

    Function

• dojox.math.stats.summary

  • parameters:
    • a: (typeof Number[]:)

      a numeric array to be appraised.

    • alreadySorted: (typeof Boolean:)

      a Boolean flag to indicated that the array is already sorted.
      This is an optional flag purely to improve the performance.
      If skipped, the array will be assumed unsorted.

  • returns

    sort it properly|Object

  • summary

    Returns a non-parametric collection of summary statistics:
    the classic five-number summary extended to the Bowley's
    seven-figure summary.

  • return_summary

    Object

  • type

    Function

• dojox.math.stats

  • alias - dojox.math.stats

• dojox.math

  • type

    Object

• dojox

  • type

    Object