Arguments
.data
Numeric vector of values.
.do.norm
One of the three values - NA, T or F. If NA than check for distrubution (sum(.data) == 1)
and normalise if needed with the given laplace correction value. if T then do normalisation and laplace
correction. If F than don't do normalisaton and laplace corre
.laplace
Value for laplace correction.
.na.val
Replace all NAs with this value.
.warn.zero
if T then the function checks if in the resulted vector (after normalisation)
are any zeros, and print a warning message if there are some.
.warn.sum
if T then the function checks if the sum of resulted vector (after normalisation)
is equal to one, and print a warning message if not.