JSXGraph 1.9.2 Reference

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Namespace JXG.Math.Statistics

      ↳ JXG.Math.Statistics

Defined in: statistics.js.

Parameters:

{Array|Number} arr

Returns:

{Array|Number}

Parameters:

{Array|Number} arr1

{Array|Number} arr2

Returns:

{Array|Number}

Parameters:

{Array|Number} arr1

Dividend

{Array|Number} arr2

Divisor

Returns:

{Array|Number}

Deprecated:

Use JXG.Math.Statistics.div instead.

Parameters:

{Number} mean

mean value of the normal distribution

{Number} stdDev

standard deviation of the normal distribution

Returns:

{Number} value of a standard normal random variable

{
  bins: 10,          // Number of bins
  range: false,      // false or array. The lower and upper range of the bins.
                     // If not provided, range is simply [min(x), max(x)].
                     // Values outside the range are ignored.
  density: false,    // If true, normalize the counts by dividing by sum(counts)
  cumulative: false
}

Parameters:

{Array} x

{Object} opt

Optional parameters

Returns:

Array [bin, counts] Array bins contains start values of bins, array counts contains the number of entries of x which are contained in each bin.

Examples:

    var curve = board.create('curve', [[], []]);
    curve.updateDataArray = function () {
      var i, res, x = [];

      for (i = 0; i < 5000; i++) {
        x.push(JXG.Math.Statistics.randomGamma(2));
      }
      res = JXG.Math.Statistics.histogram(x, { bins: 50, density: true, cumulative: false, range: [-5, 5] });
      this.dataX = res[1];
      this.dataY = res[0];
    };
    board.update();

Parameters:

{Array} arr

Returns:

{Number} The highest number from the array. It returns NaN if not every element could be interpreted as a number and -Infinity if an empty array is given or no element could be interpreted as a number.

Parameters:

{Array} arr

Returns:

{Number}

Parameters:

{Array} arr

The set of values.

Returns:

{Number}

Parameters:

{Array} arr

Returns:

{Number} The lowest number from the array. It returns NaN if not every element could be interpreted as a number and Infinity if an empty array is given or no element could be interpreted as a number.

Parameters:

{Array|Number} arr1

Dividend

{Array|Number} arr2

Divisor

{Boolean} math Optional, Default: false

Mathematical mod or symmetric mod? Default is symmetric, the JavaScript % operator.

Returns:

{Array|Number}

Parameters:

{Array|Number} arr1

{Array|Number} arr2

Returns:

{Array|Number}

Parameters:

{Array} arr

The set of values, need not be ordered.

{Number|Array} percentile

One or several percentiles

Returns:

{Number|Array} Depending if a number or an array is the input for percentile, a number or an array containing the percentils is returned.

Parameters:

{Array} arr

An array of numbers.

Returns:

{Number}

Parameters:

{Number} alpha

> 0

{Number} beta

> 0

Returns:

Number

Parameters:

{Number} n

Number of trials (n >= 0)

{Number} p

Propability (0 <= p <= 1)

Returns:

Number Integer value of a random variable in binomial distribution

Examples:

console.log(JXG.Mat.Statistics.generateBinomial(100,0.1));
// Possible output: 18

Parameters:

{Number} k

> 0

Returns:

Number

Parameters:

{Number} lambda

> 0

Returns:

Number

Parameters:

{Number} d1

> 0

{Number} d2

> 0

Returns:

Number

Parameters:

{Number} a

shape, > 0

{Number} b Optional, Default: 1

scale, > 0

{Number} t Optional, Default: 0

threshold

Returns:

Number

Parameters:

{Number} p

(0 <= p <= 1)

Returns:

Number

Parameters:

{Number} good

ways to make a good selection

{Number} bad

ways to make a bad selection

{Number} samples

number of items sampled

Returns:

Parameters:

{Number} mean

{Number} stdDev

Returns:

Number

See:

JXG.Math.Statistics#generateGaussian

Parameters:

{Number} mu

(0 < mu)

Returns:

Number

Parameters:

{Number} nu

> 0

Returns:

Number

Parameters:

{Number} a

{Number} b

Returns:

Number

Parameters:

{Array} arr

Returns:

{Array} The minimum value as the first and the maximum value as the second value.

Parameters:

{Array} arr

Returns:

{Number}

Parameters:

{Array|Number} arr1

Minuend

{Array|Number} arr2

Subtrahend

Returns:

{Array|Number}

Parameters:

{Array} arr

An array of numbers.

Returns:

{Number}

JXG.Math.Statistics.TheilSenRegression(a.map(el => el.coords));

Parameters:

{Array} coords

Array of JXG.Coords.

Returns:

{Array} A stdform array of the regression line.

Examples:

var board = JXG.JSXGraph.initBoard('jxgbox', { boundingbox: [-6,6,6,-6], axis : true });
var a=[];
a[0]=board.create('point', [0,0]);
a[1]=board.create('point', [3,0]);
a[2]=board.create('point', [0,3]);

board.create('line', [
    () => JXG.Math.Statistics.TheilSenRegression(a.map(el => el.coords))
  ],
  {strokeWidth:1, strokeColor:'black'});

Parameters:

{Array} arr

Returns:

{Number}

Parameters:

{Array} arr

Set of alues.

{Array} w

Weight values.

Throws:

{Error}

If the dimensions of the arrays don't match.

Returns:

{Number}