Fisher

Calculates Fisher transformation.

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Fisher
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Interface

C++

Fisher

doublefisher( double x )

In statistics, hypotheses about the value of x, the correlation coefficient between variables y and z of the underlying population, can be tested using the Fisher transformation applied to x.

Definition of the Fisher transformation:

$Z=\frac{ln(1+x)-ln(1-x)}{2}$

(2)

Here Z is approximately normally distributed with mean x.

References:

Wikipedia, http://en.wikipedia.org/wiki/Fisher_transformation

Example 1

#include <codecogs/statistics/moments/fisher.h>
#include <iostream>
int main()
{
  double fis = Stats::Moments::fisher(0.57);
  std::cout << "The Fisher transformation is: " << fis << std::endl;
  return 0;
}

Output:

The Fisher transformation is: 0.647523

Parameters

x	a numeric value for which you want the transformation

Returns

the Fisher transformation of x

Authors

Anca Filibiu (August 2005)

Source Code

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