draw8dist: returns the distances for the selection to be operated with...
In rebastaba: Handling Bayesian networks

Description Usage Arguments Details Value Examples

(dn) The description of the algorithm is given into /rebastaba/ manual. The selection is monitored by the weights and power coefficient usually associated to a /win/.

1	draw8dist(ind, E, wgt, kk, nat)

`ind`	Value of the individual to predict (one row data.frame.
`E`	data.frame with the candidates in its rows.
`wgt`	Named weight(s) to be used for the computation of the distances. When this argument is null, the same distance is returned for all rows of `E`.
`kk`	Power coefficient to be used for the computation of the distances.
`nat`	natures of the `ind` variables (`named character`).

No systematic check of the argument at this level

a numeric vector of length nrow(E) containing the distance of ind with each row of E.

 rebastaba3k("RESET"); # to comply R checking
 E <- data.frame(A=1:100, c=100:1); # the empirical distribution
 wgt <- structure(1, .Names="A");
 nat <- structure("conti", .Names="A");
 draw8dist(data.frame(A=20), E, wgt, 1, nat);