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# Fisher

Calculates Fisher transformation.
Controller: CodeCogs
Contents

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

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

Source code is available when you agree to a GP Licence or buy a Commercial Licence.

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