The FISHER function calculates the Fisher transformation at x.
The formula used is:
f(x) = ½ LN((1 + x)/(1 - x))
for -1 < x < 1.
The transformation can be used to convert a skewed distribution into a more normal one, provided there is some theoretical support.
For example:
FISHER(0.85)
returns 1.256153.
See also: