FISHER(x)

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:

LN(x)

Other statistical functions